Business Growth Strategyfor Waukesha County

2016-2018

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Acknowledgements

I would like to thank those who shared their knowledge and vision to help shape this first generation Business Growth Strategy for Waukesha County.

Paul FarrowWaukesha County Executive

Bart Adams SikichNancy Anderson Southeastern Wisconsin Regional Planning CommissionJennifer Andrews City of WaukeshaPeter Bacon ProHealth CareMary Baer Waukesha County Business AllianceGreg Bauer BMO HarrisWendy Baumann Wisconsin Women’s Business Initiative CorporationAllison Bussler Waukesha CountyMike Becker GE HealthcareAmy Bennett City of New BerlinJerry Braatz University of Wisconsin ExtensionRobert Buerger The Private BankMatt Carran Village of Menomonee FallsTim Casey City of BrookfieldLaura Catherman Waukesha-Ozaukee-Washington Workforce Development BoardNorman Cummings Waukesha CountyPaul Decker Waukesha County Board of SupervisorsBob Duffy City of OconomowocBrian Engelking Waukesha Metro Transit Tom Fotsch EmbedTek, LLCMike Judson Judson and AssociatesSuzanne Kelley Waukesha County Business AllianceGreg Kessler City of New BerlinDavid Kircher Wisconsin Business Development CorporationPatti Kneiser Froedtert & The Medical College of WisconsinKevin Lahner City of WaukeshaShawn Lundie Waukesha County Jay Mack Town BankBarry McNulty We EnergiesMike Mooney MLG CapitalJeff Muenkel City of MuskegoAmanda Payne Waukesha County Business AllianceMike Payne R&R Insurance Services, Inc.Mary Perry Wisconsin Economic Development CorporationRuss Roberts Waukesha County Technical College – Small Business CenterMike Shiels Waukesha County Technical CollegeDale Shaver Waukesha CountyJohn Weidl Village of MukwonagoMatt Williams AbbVieNate Zastrow First Bank Financial Centre

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Table of Contents

Business Growth Needs

Planning Overview and Process

State of Business in Waukesha County Voice of Waukesha County Businesses Demographics Labor Force Business Growth Comparative County Analysis

Business Growth Strategy

Strategic Outcome 1: A central point of contact for businesses looking to expand in or relocate to Waukesha County.

Strategic Outcome 2: A business outreach strategy to identify the needs of businesses seeking to expand in or relocate to Waukesha County.

Strategic Outcome 3: A strategy to identify Waukesha County business workforce needs and connect to available workforce development resources.

Strategic Outcome 4: A strategy to develop a collaborative fund to increase financial tools to businesses in Waukesha County and sustain the Economic Development Organization.

Generac Power Systems

SPX Transformer Solutions

Weldall Mfg.

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Business Growth Needs

This Business Growth Strategy for Waukesha County has been developed around two core objectives. First, there is a need for a central point of contact for businesses looking for workforce, financial and site selection assistance. Second, there is a need for an organized strategy to connect businesses with organizations that have the resources to provide the assistance. To achieve these objectives, strategic outcomes have been created and serve as the foundation of the Business Growth Strategy for Waukesha County. The key strategic outcomes are:

Strategic Outcome 1: A central point of contact for businesses looking to expand in or relocate to Waukesha County.

Strategic Outcome 2: A business outreach strategy to identify the needs of businesses seeking to expand in or relocate to Waukesha County.

Strategic Outcome 3: A strategy to identify Waukesha County business workforce needs and connect to available workforce development resources.

Strategic Outcome 4: A strategy to develop a collaborative fund to increase financial tools to businesses in Waukesha County and sustain the Economic Development Organization.

Following is a summary of data regarding the state of business in Waukesha County. This information has been used to shape the strategic outcomes and objectives presented in this report.

Midwest Engineered Systems Inc. Environmental Systems, Inc. Au Bon Pain

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Planning Overview and Process

In fall of 2014, Waukesha County no longer had an economic development organization available to assist businesses with their needs. Waukesha County and the Waukesha County Business Alliance began researching how other comparable Wisconsin and national counties deliver economic development services. As a result of the research, Waukesha County Executive Paul Farrow called for the creation of an Economic Development Strategy Workgroup, comprised of representatives from businesses, business and workforce development organizations, education and governmental units.

The Workgroup was charged with the tasks of:• Development of a proposed structure for an Economic Development Organization for

Waukesha County which leverages the work of existing organizations providing workforce development services as well as financial assistance to businesses.

• Development of a funding strategy designed to create a sustainable funding model for the Economic Development Organization operational costs and provide financing tools for business growth in Waukesha County.

• Preparation of a Business Growth Strategy for Waukesha County to serve as an implementation guide for municipal economic development staff, business organizations and Waukesha County as well as to clearly communicate multi-year objectives.

The Workgroup completed its work in December 2015, with the development of the following Business Growth Strategy for Waukesha County.

State of Business in Waukesha County

For the preparation of this Business Growth Strategy, special effort was placed on gathering feedback from businesses concerning existing economic development strengths, concerns and opportunities to improve the economic development environment in Waukesha County. In addition, data of the current and forecasted population, employment, housing and business sector data was collected. Finally, a benchmark analysis of the economy of Waukesha County to other Wisconsin and national comparison counties was conducted.

Following is a summary of information concerning the state of business in Waukesha County.

Business Survey Summary

In August, 2015 a survey was released by the Waukesha County Business Alliance, and the

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Waukesha-Ozaukee-Washington (WOW) Workforce Development Board to an unduplicated total of 1,673 businesses. A total of 335 businesses responded to the survey, representing a 20 percent response rate. Respondents included representatives from each of Waukesha County’s 37 municipalities, a wide range of business sectors, and companies sized from the self-employed to operations with more than 1,000 employees.

The survey touched on topics in seven key areas:1. Workforce Development2. Physical Specifications and Future Plans3. Transportation - Transit and Road/Highways, Airport4. Financial and Business start-up assistance5. Permitting and Licensing6. Workforce Housing7. Economic Visioning

What Did We Learn?

Businesses plan to grow:• More than two-thirds of Waukesha County businesses are Stage 1 businesses (2-9 employees)

or Stage 2 businesses (10-99 employees). • Strong job growth will continue: 84 percent indicated they plan to expand their workforce in

the next three years.• 48 percent project to hire between one and nine employees• 20 percent plan to hire 10 to 19 employees• 19 percent project to hire 20 to 49 employees• 9 percent plan to hire 50 to 99 employees• 1 percent plan to hire 100 to 249 employees• 4 percent project to hire 250 employees or more

• 72 percent of respondents indicated they plan to expand/remodel their physical business in the next three years.

Businesses face challenges:• A majority of respondents across nearly every sector indicated a difficulty attracting/retaining

employees.• Staff recruitment issues include a lack of qualified applicants (77 percent) and difficulty

finding workers that fit their business culture (61 percent).• Businesses identified the major primary challenges to starting and growing their business as

a skilled workforce (72 percent) and access to capital (39 percent)• Businesses value infrastructure – 88 percent rated local streets and highways as either

important or very important.• A little over one-third of respondents (36 percent) believe that transit is an important issue. • More than one quarter of respondents (29 percent), indicated they are struggling to identify

financial resources. A total of 39 percent of respondents said access to capital was a major roadblock to growth.

Fairchild Equipment

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What Do Businesses Need to Help Them Grow?

According to the survey, in order to grow, Waukesha County businesses want a low tax environment (among the Top 5 most important factors in retaining a business), a pipeline of highly skilled workers, and access to a variety of financing options, such as SBA loans and grants, training assistance, and funding for apprenticeships and workforce development programs.

Benchmark Counties Comparison

From July to August 2015, the University of Wisconsin – Extension Center for Community and Economic Development compared Waukesha County to 18 comparable counties throughout the United States for economic development purposes. Of the comparable counties, 4 are “Metro Edge” counties (Clark County, WA; Dakota County, MN; Jefferson County, CO; Johnson County, KS). The comparison revealed:

Demographics:• Population growth is slower than comparable counties.• Waukesha County’s population is aging.• The County’s median age is nearly the oldest among all

comparable counties.• Waukesha County residents are highly educated.• Household median income is highest when compared

to comparison counties ($75,000).

Labor Force:• Waukesha County has a net out migration of individuals

ages 20 to 29. However, this out-migration is largely offset by an in-migration of working age individuals ages 30 to 44.

• Waukesha County is part of a regional labor market. A large share of county residents work outside of Waukesha County, while a large share of workers in Waukesha County firms live in surrounding counties. Exchanges of workers to and from Milwaukee County are particularly prevalent.

• Waukesha County has a high labor participation rate (79% females, 90% males) and a low unemployment rate. Unemployment rates among young residents are particularly low compared to comparable counties.

Business Growth:• Most of Waukesha County’s recent job growth has occurred through business expansions

(See Figure 1). • Waukesha County has had limited success in creating job growth through business start-ups.• Waukesha County has had a higher share of growth stemming from business relocations

relative to comparable counties.

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• Loans to small business ranked second among the 11 county comparator group. However, there was a notable decline in lending in 2013.

• Waukesha County has been a moderate user of Small Business Innovation Research (SBIR)/Small Business Technology Transfer (STTR) funding, close to the median comparator county in terms of awards. Dane County, WI and Jefferson County, CO are notable outliers.

FIGURE 1

Note: Johnson County KS, Dakota County, MN are “Metro Edge” counties similar to Waukesha County.

Quality of Life:• WaukeshaCountyhasoneofthelowestpovertyrates among comparable counties.• WaukeshaCountycurrentlyranks7outofthe11 comparator counties for commute time.

Key Comparisons:• WaukeshaCountyisaleaderinmanyofthekey metrics analyzed in these studies. • OftheComparatorCounties–WaukeshaCounty should closely analyze:

Johnson County, Kansas Jefferson County, Colorado Sharon Lynne Wilson

Center for the Arts

‐40.0% ‐20.0% 0.0% 20.0% 40.0% 60.0% 80.0% 100.0%

Onondaga County, NY

Forsyth County, NC

Waukesha County, WI

Polk County, IA

Sedgwick County, KS

Hamilton County, TN

Durham County, NC

Greenville County, SC

Guilford County, NC

Linn County, IA

Lehigh County, PA

Dakota County, MN

Johnson County, KS

Olmsted County, MN

Components of Job Growth in Comparable Counties (1995 to 2013)

Net Expansions

Net Startups

Net Relocations

Data Source: National Establishment Time Series Database extracted from YourEconomy.org

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Workforce Analysis

In order to plan for future economic growth and development, it is essential to understand current and forecasted workforce demographics. The Southeastern Wisconsin Regional Planning Commission (SEWRPC) provided key workforce data from the U.S. Census Bureau, U.S. Bureau of Economic Analysis and the Wisconsin Departments of Revenue and Workforce Development. This analysis was supplemented with data from the University of Wisconsin-Madison Applied Population Laboratory, the University of Wisconsin-Extension Center for Community and Economic Development and the University of Wisconsin-Extension Division of Business and Entrepreneurship.

Median Household IncomeThe Waukesha County median household income was $75,850 in 2013. This is the highest county median household income in the state and 87th highest in the nation. A total of 80,814 County residents making up about 21 percent of the population were considered low to moderate household income by the U.S. Department of Housing and Urban Development (HUD). Low to moderate income is defined as household income that is 80 percent or less than county median household income. Seventy-nine percent of County residents live in households with incomes above low to moderate income. In 2013, Waukesha County had the lowest percent poverty rate of the ten highest populated urban counties in Wisconsin at 5.4 percent (Veroff, 2015).

Average Adjusted Gross Income Per ReturnIn 2013, Waukesha County ranked third in Wisconsin in total adjusted gross income, behind Milwaukee and Dane Counties. In 2013, Waukesha County residents generated about $16 billion in individual adjusted gross income. The average adjusted gross income per return filed individually for the County was $78,080, ranging from $37,360 in the Village of Butler to $882,780 in the Village of Chenequa.

Per Capita Personal IncomePer capita personal income is defined as a location’s total personal income divided by its total resident population. This measure is one of the most widely used measures of a location’s economic health. Per capita personal income in Waukesha County at $59,379, was second highest in the Region behind Ozaukee County.

Per capita income for the Milwaukee-Waukesha-West Allis MSA was higher than the average of MSAs of similar population in both the Midwest and the Nation. The annual per capita income of the Milwaukee-Waukesha-West Allis MSA in 2013 was $47,688, compared to an average of $45,846 for similar MSAs in the Midwest and $45,064 for similar MSAs in the United States.

Hydro-Thermal Corporation

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Employment WagesIn 2013, the average annual wage paid to workers employed in Waukesha County was approximately $49,000 per year. This figure was 14.6 percent above the state average. Jobs in information occupations provide the highest average wage in Waukesha County at $72,829. Jobs in financial services and manufacturing provide the second and third highest average wages in the County.

Educational AttainmentWaukesha County has a highly educated population. Waukesha County had the highest percent of residents of age 25 and over with a high school degree or higher (nearly 96 percent) of all comparator counties (Kures, 2015). About 71 percent of Waukesha County residents over the age of 25 have an associate, bachelors, or graduate degree, compared to about 60 percent of residents of the seven-county Region. Over 40 percent of County residents of age 25 and over have a bachelor’s degree or higher that again ranked very high among comparator counties nationally (Kures, 2015).

Cardinal Stritch University, Carroll University, Ottawa University, the University of Wisconsin-Waukesha, and Waukesha County Technical College offer associate or bachelor degrees at locations in Waukesha County. All of these institutions of higher education offer online courses along with the University of

The Milwaukee-Waukesha-West Allis Metropolitan Statistical Area (MSA) includes Milwaukee, Ozaukee, Washington, and Waukesha Counties.

Waukesha County Technical College

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Wisconsin-Milwaukee, University of Wisconsin-Platteville, and the University of Wisconsin-Extension that offers certificates, associate, and bachelor degree programs through the UW FLEX option. The UW FLEX option also provides credits for work experience.

Home Ownership Waukesha County has the highest homeownership rate among comparator counties at 76 percent (Lange, 2015). The median monthly housing cost for owner-occupied housing units with a mortgage was $1,841 and the median monthly housing cost for owner-occupied housing units without a mortgage was $632 (SEWRPC, 2015). About 25 percent of households living in owner-occupied housing in Waukesha County spent over 30 percent of their monthly income on housing costs. Furthermore, approximately 43 percent of households living in renter-occupied housing in Waukesha County spent over 30 percent of their monthly income on housing costs (SEWRPC, 2015).

Workforce Demographics, Labor Availability and Labor Force Participation In 2013, Waukesha County had a labor force of 219,717, with 210,397 employed and 9,320 unemployed. Waukesha County has one of the highest labor force participation rates among comparator counties in the country. In Waukesha County, over 90 percent of males and nearly 80 percent of females participate in the labor force (Kures, 2015). The biggest concern is the fact that the workforce is growing older. The median age of County residents increased from 38.1 in 2000 to 43.1 in 2014. This was the oldest median age when compared to comparator counties (See Figure 2).

FIGURE 2:

Changes in the age composition of the population over the past 10 years in the Region and in Waukesha County are most evident in increases in the number and percentage of the population in the 50-to-54-year, the 55-to-59-year, and the 60-to-64-year age groups, largely reflecting the aging of “baby-boomers” (those born from 1946 through 1964). Conversely, the largest decreases (in both

34.6

34.7

35.0

36.9

37.0

37.1

37.3

37.7

37.7

37.7

37.8

38.9

39.2

39.5

39.6

43.1

0.0 10.0 20.0 30.0 40.0 50.0

Durham County, NC

Sedgwick County, KS

Polk County, IA

Olmsted County, MN

Johnson County, KS

Guilford County, NC

Linn County, IA

United States

Dakota County, MN

Greenville County, SC

Forsyth County, NC

Onondaga County, NY

State of Wisconsin

Lehigh County, PA

Hamilton County, TN

Waukesha County, WI

Median Age (years)

Median Age in 2014

Data Source:  U.S. Census Bureau

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number and percentage of the total population) between 2000 and 2010 occurred in the 35-to-39-year and 40-to-44-year age groups, a reflection of baby boomers moving out of those age groups coupled with the smaller number of people born in the late 1960s and 1970s (Generation X) moving into those age groups.

Regional population projections prepared by SEWRPC as part of the VISION 2050 planning process anticipate continued change in the age composition of the regional population over the course of the projection period. While the broad age groups 0-19 years, 20-44 years, and 45-64 years are projected to be relatively stable, persons age 65 and over are projected to nearly double during the projection period. Persons age 65 and over would account for about 21 percent of the total population in the Region in 2050, compared to about 13 percent in 2010. Projections show that by 2035, 25 percent or one out of every four people in Waukesha County will be age 65 and over.

This changing age composition will have major implications for the future labor market. Waukesha County will need to align, retain, and recruit a younger workforce to fill positions left vacant by retiring baby boomers. In 2014, a significant number of employees (approximately 10 percent of the labor force) working in Waukesha County of age 55 and over were employed in manufacturing, health and social assistance, and retail and wholesale trade (Kures, 2015). Despite a slight decline in the manufacturing sector as a percent of total employment between 2006 and 2014 in Waukesha County, there will continue to be significant demand for jobs in this sector due to the large number of employees in manufacturing who are of age 55 and over and will retire in the next five to ten years (See Figure 3).

FIGURE 3:

116 285 512 941 994 1,244 1,663 1,728 1,775 1,778 2,092 

2,700 2,994 2,994 3,187 

4,255 5,318 

6,466 11,333 

 ‐  2,000  4,000  6,000  8,000  10,000  12,000

Agriculture and Natural ResourcesUtilities

Arts, Entertainment, and RecreationReal Estate and Rental and Leasing

InformationManagement of Companies and Enterprises

Public AdministrationAccommodation and Food ServicesTransportation and Warehousing

Other Services (except Public Administration)Construction

Administrative and Support and Waste ManagementFinance and Insurance

Professional, Scientific, and Technical ServicesEducational Services

Wholesale TradeRetail Trade

Health Care and Social AssistanceManufacturing

Waukesha County Employment by Sector –Total Number of Employees Age 55 and Over (Q2 2014)

Source: U.S. Census Bureau LED

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Net MigrationAlthough Waukesha County experienced a net in-migration of about 16,000 persons between 2000 and 2010, Milwaukee County and the Region as a whole experienced a net out-migration in the last decade (See Figure 4). Since the 1960s, Waukesha County has experienced a negative net migration rate for people in their 20s. This trend reverses itself for people in their 30s who view Waukesha County as a destination for jobs and raising their family. The regional population and labor force projections prepared by SEWRPC envision a reversal in the long-term trend of net out-migration from the Region, with net in-migration to the Region beginning in 2020 and continuing through 2050. The net in-migration to the Region between 2020 and 2050 will be essential to support even a modest increase in regional employment to the year 2050.

FIGURE 4:

Industry Analysis

The largest employers in Waukesha County are doing business in the health services; medical product innovation; retail; wholesale, distribution, and delivery; printing; temporary staffing services; government, and education sectors. The County is also home to company headquarters for Kohl’s Department Stores and Quad/Graphics.

In 2013, Waukesha County had 12,424 businesses. Ninety-three percent of these businesses had less than 50 employees. The two most common business establishment groups were wholesale/retail trade and professional and administrative services.

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TABLE 2: NUMBER OF BUSINESSES BY SECTOR IN WAUKESHA COUNTY, 2015

For planning and economic development purposes, it is important to analyze and understand what industry sectors have the greatest potential for future job growth. Waukesha County experienced significant employment growth between 1990 and 2000 in finance, insurance, real estate, construction, wholesale trade and retail trade. Job growth was slower between 2001 and 2013, due primarily to the economic recession that began in 2007. The number of jobs decreased during that period in six economic sectors, but a substantial increase in the number of service jobs resulted in an overall increase in jobs in the County during that period.

Manufacturing Employment in manufacturing has decreased significantly over the past four decades, with particularly large reductions occurring during the early 1980s and early 2000s and—most recently—during the recession of the late 2000s. The proportion of manufacturing jobs relative to total jobs in the Region decreased from 30 percent in 1970 to 13 percent in 2010. Under the intermediate projection, manufacturing employment is expected to continue to decrease over the long term, from 148,100 jobs in 2010 to 119,200 jobs in 2050, a decrease of 28,900 jobs, or 20 percent. Under this scenario, manufacturing would account for 9 percent of all jobs in the Region in 2050.

Service Employment Employment in the service sector increased substantially over the past four decades. The proportion of service jobs in the Region increased from 26 percent in 1970 to 50 percent in 2010. Under the intermediate projection, service industry employment is expected to increase over the long term, from 584,400 jobs in 2010 to 756,400 jobs in 2050, an increase of 172,000 jobs, or 29 percent. Service employment would represent 55 percent of all jobs in the Region in 2050. Growth in service industry employment would account for about 82 percent of the projected total increase in jobs in the Region between 2010 and 2050 under the intermediate-growth scenario.

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The service sector includes the following three high-growth sub-sectors:

Business Services Business employment is projected to continue to grow rapidly. These establishments provide services such as advertising, computer programming, data processing, security system services, and building, cleaning and maintenance services.

Health ServicesThe health services industry includes establishments engaged in furnishing medical, surgical and other health services, including hospitals, offices and clinics of physicians and health care practitioners, nursing and rest homes, medical and dental laboratories as well as home health care services. This sector is poised for growth as Waukesha County’s median age continues to increase, as the baby-boomer generation continues to grow older, and the overall population continues to increase.

Social ServicesThe social services sector provides help and rehabilitation services to individuals with needs, and includes special care to the disabled and disadvantaged. The industry group also includes child day-care facilities and certain residential care facilities for children, the elderly, and others who need help with self-care. This sector will continue to see significant growth as the aging of baby-boomers continues, along with the movement to outpatient care and more home-based assistance living.

Construction EmploymentEmployment in construction was severely impacted by the recession of the late 2000s, with construction employment decreasing by 13,200 jobs, or 22 percent, between 2007 and 2010. For an extended period prior to the recession, construction employment growth in the Region had been very strong, approximately doubling between the early 1980s and the start of the recession in 2007. Under the intermediate-growth scenario, construction employment in the Region is expected to increase to 63,300 jobs in 2050, an increase of 17,400 jobs, or 38 percent, over the reduced level of 45,900 jobs in 2010. The projected year 2050 construction employment for the Region under the intermediate-growth scenario is 4,200 jobs, or 7 percent, greater than the peak level that occurred in 2007.

Retail EmploymentRetail employment was also significantly impacted by the recession of the late 2000s, with the number of jobs in the retail sector in the Region decreasing by 15,400, or 8 percent, between 2007 and 2010. Prior to the recession, retail employment growth in the Region had been fairly steady, increasing by about 36 percent between the early 1980s and the start of the recession in 2007.

Easter Seals Southeast Wisconsin

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Under the intermediate-growth scenario, retail employment in the Region is expected to increase to 211,900 jobs in 2050, an increase of 26,100 jobs, or 14 percent, over the reduced level of 185,800 jobs in 2010. The projected year 2050 employment in the retail sector under the intermediate-growth scenario is 10,700 jobs, or 5 percent, greater than peak level for the Region experienced in 2007.

Wholesale and Transportation/Warehousing EmploymentEmployment in the wholesale sector and in the transportation/warehousing sector decreased somewhat during the recession of the late 2000s. Under the intermediate-growth scenario, employment in wholesaling is expected to increase from the reduced level of 48,800 jobs in 2010 to 59,800 jobs in 2050, an increase of 11,000 jobs, or 23 percent. The projected year 2050 employment in wholesaling is 4,100 jobs, or 7 percent, greater than the peak level for the Region that occurred in 2007. Under the intermediate-growth scenario, employment in transportation/warehousing is expected to increase from 38,200 jobs in 2010 to 45,400 jobs in 2050, an increase of 7,200 jobs, or 19 percent. The projected year 2050 employment in transportation/warehousing is 4,000 jobs, or 10 percent, greater than the peak level for the Region that occurred in 2007.

Business Stages

The Edward Lowe Foundation classifies businesses in five categories. The first category is self-employed. These businesses often operate in a home environment as well as sole proprietorships. The second category is stage 1 that contains 2 to 9 employees. These companies often are focused on clearly defining their market reach, developing a distinctive product or service, and obtaining capital and enhancing their customer base. Stage 2 companies have between 10 and 99 employees with a proven product or service with survival being less of a daily concern. These companies are beginning to develop a strong infrastructure and standardize operational systems. Company leaders delegate more and wear fewer hats. Stage 3 companies employ between 100 and 499 employees with new product development and new markets being a priority as they expand their geographic reach. The company leader is more involved in managing culture and less involved with daily operations. Stage 4 companies employ 500 or more employees and play a dominant role in their industry and focus on maintaining and defending their market position. Key objectives focus on tasks such as raising productivity, increasing market penetration and managing market niches.

Waukesha County Business Stage SituationAlmost half of the employment in Waukesha County is from Stage 2 businesses with 10 to 99 employees (See Figure 5). Stage 3 companies (100 to 499 employees) collectively have the second highest number of people employed. A strategy to consider for job growth is a focused effort to help startups and Stage 1 companies move to Stage 2 and to work with existing Stage 2 companies for expansion to Stage 3 businesses. Power Test Dynamometers

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FIGURE 5: WAUKESHA COUNTY EMPLOYMENT 1995 TO 2013, TOTAL EMPLOYMENT BY ESTABLISHMENT STAGE

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References

Kures, M. (2015). Waukesha County by the Numbers. (Power Point Slides). Madison, WI: University of Wisconsin-Extension.

Lange, M. (2015). Waukesha County Economic Assessment, 2015: Competing in an Uncertain World, Metrics of Comparator Counties. Madison, WI: University of Wisconsin-Extension.

Southeastern Wisconsin Regional Planning Commission (SEWRPC). (2015). County and Regional Economic Trends. Waukesha, WI.

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Southeastern Wisconsin Regional Planning Commission (SEWRPC). (2015). County and Regional Economic Trends. Waukesha, WI.

The following objectives for this Year 2016-2018 Business Growth Strategy are driven by the State of Business in Waukesha County analysis. The objectives and associated outcomes have been organized to address identified business needs.

OBJECTIVE TEAM MEMBERS

TARGET COMPLETION

DATE OUTCOMEGOAL

STATUS

Formation of an Economic Development Organization

To be determined byresponse to Year 2015 Request for Proposals for Economic Development Organization released by Waukesha County

3rd Qtr 2016

• Organization formed under appropriate Not-for-Profit status

• Personnel Retained

• Executive Committee and Board Formed.

Increase the number of Waukesha County municipalities financially contributing to the new Economic Development Organization

Economic Development Organization and Waukesha County municipalities

4th Qtr each year

Annually increase the number of municipalities financially contributing to the centralized point of contact for businesses.

Strategic Outcome: (1) A central point of contact for businesses looking to expand in or relocate to Waukesha County.

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OBJECTIVE TEAM MEMBERS

TARGETCOMPLETION

DATE OUTCOME GOAL

STATUS

Finalize Agreement for Small Business Development Center Outreach Specialist Services for Business Assistance Services

Waukesha County, City of Waukesha, UW-Extension Small Business Development Center

1st Qtr 2016

FinalizeAgreement for Small BusinessDevelopment CenterOutreachSpecialisttrained and located in WaukeshaCounty

Provide business technical assistance to early stage, Stage 1 and 2 businesses

Economic Development Organization through Small Business Development Center Outreach Specialist, WCTC Small Business Center

Goals for each 12 month period

Modify and implement a process for businessesless than one year old to strengthentheir business plans.

Minimum of 100companies will receive initialconsultation

Minimum of 50 companies will receive five or more hours of one-on-oneconsultation.

Provide business technical assistance that will assist in workforce expansion or retention.

Economic Development Organization through Small Business Development Center

Goals for each 12 month period

Companies receivingconsultationservices will be able to

Strategic Outcome: (2) A business outreach strategy to identify the needs of businesses seeking to expand in or relocate to Waukesha County.

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Outreach Specialist document the addition or retention of at least 50 jobs, collectively.

Provide business technical assistance focused on increasingexpansion and capital investment in Waukesha County businesses.

Economic Development Organization through Small Business Development Center Outreach Specialist

Goals for each 12 month period

Companies receivingconsultationservices will be able to document at least $4.0 million in capital to improve or expand their businesses,collectively.

Assist Waukesha County municipalities market existing and proposed business and industrial parks (Map 1, Tables 3 and 4).

Economic Development Organization and Waukesha County municipalities

Ongoing

Businessexpansionswith and relocations to WaukeshaCounty

OBJECTIVE TEAM MEMBERS

TARGETCOMPLETION

DATE OUTCOME GOAL

STATUS

Contact businesses with an emphasis on business sectors with the highest difficulty in attracting and retaining employees.

Waukesha-Ozaukee-Washington Workforce Development Board, Economic Development Board and UW-Extension

Goals for each 12 month period

Minimum of 300 companies will receive contact.

Produce a bi-annual state of Waukesha County workforce report to define future workforce strategies of with collaborative organizations.

Waukesha-Ozaukee-Washington Workforce Development Board, Economic Development Board and UW-Extension

December, 2017 Bi-annualworkforce report

County Strategic Outcome: (3) A strategy to identify Waukesha County business workforce needs and connect to available workforce development resources.

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OBJECTIVE TEAM MEMBERS

TARGETCOMPLETION

DATE OUTCOME GOAL

STATUS

To create a single point of contact for businesses and financial institutions looking for Community Development Block Grant (CDBG) funding, collaboratively contract with a single servicing entity.

Waukesha County, Menomonee Falls, Mukwonago, Muskego and Sussex

1st Qtr 2017 CollaborativeService Contract for CDBG Revolving Loan Funds

Expand a leverage loan program from early lapsing Tax Incremental Finance Districts (TID) to provide “gap” loans to Waukesha County businesses.

Waukesha County municipalities, School Districts and Waukesha County

4th Qtr 2016

As TIDs terminate

ProvideOverview of WaukeshaCounty Leverage Loan Program to municipalities and School Districts

Expand leverage loan funding as TID’s terminate.

Align local bank Community Reinvestment Act (CRA) strategies with Business Growth Strategy for Waukesha County.

Waukesha County, Economic Development Organization, FDIC and Waukesha County.

2nd Qtr 2016

Work with the Federal Deposit InsuranceCorporation to convene a banker’sroundtabledesigned to gather feedback for the Business Growth Strategy for Waukesha County aligned with local bank CRA strategies.

County Strategic Outcome: (4) A strategy to develop a collaborative fund to increase financial tools to businesses in Waukesha County and sustain the Economic Development Organization.

23

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NSource: Local Governments and SEWRPC.

Map 2

BUSINESS AND INDUSTRIAL PARKS IN WAUKESHA COUNTY: 2015

EXISTING BUSINESS / INDUSTRIAL PARK

PROPOSED BUSINESS / INDUSTRIAL PARK

REFERENCE NUMBER (SEE TABLE 14)15

CIVIL DIVISIONS AS OF JUNE 2015

REFERENCE LETTER (SEE TABLE 15)A

Map 1

24

Wau

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lan

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112

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0

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oad

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elaf

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ark

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ines

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ente

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ark

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n S

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aine

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ines

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rkS

outh

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dran

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le R

oad

(CTH

E)

643

City

of M

uske

go14

Mus

kego

Com

mer

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ente

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ast a

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est

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rland

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twee

n Ja

nesv

ille

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d an

d C

olle

ge A

venu

e

162

4

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go In

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ark

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th q

uadr

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f Rac

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and

Jane

svill

e R

oad

217

5

Wauk Co Econ Devel Plan Tbl 14 (00226162-2).DOCNMA/RLR/kmd12/17/15; 6/8/15

- 1 -

Table 3

EXISTING BUSINESS PARKSa IN WAUKESHA COUNTY: 2015

Local Government Site No. Park Name Location Size (acres)

TIF District(TID)

No. of Vacant

Parcelsb

City of Brookfield 1 124th Commerce District Southwest quadrant of 124th Street and Capitol Drive (STH 190)

122 0

2 Bishop’s Woods Office Park Southeast quadrant of Bluemound Road (USH 18) and Sunnyslope Road

167 0

3 Brookfield Industrial Park West side of Barker Road (CTH Y) just south of Gebhardt Road

98 0

4 Brookfield Lakes Corporate Center

Southeast and southwest quadrants of Bluemound Road (USH 18) and Corporate Drive

138 1

5 Eastgate Business Center North side of Lisbon Road, one-half mile west of 124th Street

16 0

6 Executive Drive Office Park Southeast and southwest quadrants of Bluemound Road (USH 18) and Executive Drive

108 0

7 Gateway West Commerce Center

Southeast quadrant of Capitol Drive (STH 190) and Springdale Road

146 5

8 Glenwood Executive Center Northeast quadrant of Capitol Drive (STH 190) and Pilgrim Road (CTH YY)

8 0

9 Northeast Industrial Park Northwest quadrant of Capitol Drive (STH 190) and 124th Street

96 0

10 Pheasant Drive Industrial Park Northeast quadrant of Calhoun Road and Pheasant Drive

30 0

11 Fox River Business Center Southwest quadrant of Capitol Drive (STH 190) and Richland Parkway

11 0

City of Delafield 12 Cushing Park Business Center West side of Cushing Park Road, north of I-94, south of Main Street

33 1

13 Kettle Moraine Business Park Southwest quadrant of Hillside Drive and Maple Road (CTH E)

64 3

City of Muskego 14 Muskego Commerce Center –East and West

East and west side of Moorland Road between Janesville Road and College Avenue

162 4

15 Muskego Industrial Park South quadrant of Racine Avenue and Janesville Road

217 5

25

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(con

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end

Indu

stria

l Par

kN

orth

wes

t qua

dran

t of C

TH L

and

E

dgew

ood

Driv

e 51

0

Vill

age

of B

utle

r54

But

ler I

ndus

trial

Par

k -N

orth

Nor

th a

nd s

outh

sid

e of

Silv

er S

prin

g D

rive

(CTH

VV

) and

wes

t of 1

24th

Stre

et a

nd

east

and

nor

th o

f Men

omon

ee R

iver

130

1

55B

utle

r Ind

ustri

al P

ark

-Sou

thS

outh

of H

ampt

on A

venu

e (C

TH K

) and

ea

st o

f 132

ndSt

reet

800

Vill

age

of D

ousm

an56

Dou

sman

Indu

stria

l Par

kN

orth

of O

ttaw

a A

venu

e, w

est o

f Mai

n S

treet

, and

sou

th o

f Gla

cial

Dru

mlin

Tra

il30

1

Vill

age

of E

agle

57E

agle

Indu

stria

l Par

kW

est s

ide

of S

TH 6

7, o

ne-h

alf m

ile n

orth

of

STH

67

and

STH

59

inte

rsec

tion

791

Vill

age

of H

artla

nd58

Bar

k R

iver

Com

mer

ce C

ente

rE

ast s

ide

of S

TH 8

3 al

ong

Wal

nut R

idge

D

rive

156

6

59C

otto

nwoo

d C

omm

erce

C

ente

rN

orth

sid

e of

Nor

th S

hore

Driv

e al

ong

Cot

tonw

ood

Ave

nue

480

60G

easo

n C

omm

erce

Cen

ter

Nor

thea

st q

uadr

ant o

f STH

83

and

Nor

th

Sho

re D

rive

683

61H

artla

nd/L

ake

Cou

ntry

B

usin

ess

Par

kE

ast s

ide

of S

TH 8

3, s

outh

of C

anad

ian

Pac

ific

Rai

lway

227

3

Vill

age

of L

anno

n62

Lann

on In

dust

rial P

ark

Sou

th s

ide

of M

ain

Stre

et (S

TH 7

4) a

long

E

dgew

ood

Driv

e17

0

Vill

age

of M

enom

onee

Fa

lls63

Bow

ling

Gre

en In

dust

rial P

ark

Wes

t sid

e of

Lill

y R

oad

alon

g B

obol

ink

Ave

nue,

nor

th o

f Uni

on P

acifi

c R

ailro

ad47

No

0

64Fa

lls B

usin

ess

Par

k N

orth

east

qua

dran

t of H

ampt

on A

venu

e an

d Li

lly R

oad

271

TID

#?

0

28

Tabl

e3

(con

tinue

d)

-5-

Loca

l Gov

ernm

ent

Site

No.

Par

k N

ame

Loca

tion

Siz

e (a

cres

) TI

FD

istri

ct(T

ID)

No.

of

Vac

ant

Par

cels

b

Vill

age

of M

enom

onee

Fa

lls(c

ontin

ued)

65H

erita

ge R

eser

ve B

usin

ess

Par

k N

orth

east

qua

dran

t of A

pple

ton

Ave

nue

(STH

175

) and

Goo

d H

ope

Roa

d48

No

0

66N

orth

wes

t Bus

ines

s Pa

rkB

etw

een

Silv

er S

prin

g D

rive

and

Uni

on

Pac

ific

Rai

lroad

, wes

t of L

illy

Roa

d56

No

0

67N

or-X

-Way

Indu

stria

l Par

k I,

II,

and

IIIN

orth

of M

ain

Stre

et (S

TH 1

00),

east

of

US

H 4

1/45

315

No

2

68S

ilver

Spr

ing

Cor

pora

te

Par

k/Te

chno

logy

Cen

ter

Nor

th s

ide

of S

ilver

Spr

ing

Driv

e w

est o

f P

ilgrim

Roa

d 23

5TI

D #

?0

69S

ilver

Spr

ing

Indu

stria

l Hei

ghts

Nor

thea

st q

uadr

ant o

f Silv

er S

prin

g D

rive

and

Lilly

Roa

d 53

No

0

70W

estb

rook

Cor

pora

te C

ente

rS

outh

wes

t qua

dran

t of M

ain

Stre

et (S

TH

100)

and

124

thSt

reet

(STH

145

)15

8TI

D #

?4

71W

oodl

and

Prim

e O

ffice

Par

kN

orth

sid

e of

Goo

d H

ope

Roa

d al

ong

Flin

t D

rive,

eas

t of S

TH 1

7515

9TI

D #

?4

Vill

age

of M

ukw

onag

o72

Muk

won

ago

Gat

eway

Cen

ter

Sou

thea

stqu

adra

nt o

f I-4

3an

d S

TH 8

3 18

9TI

D #

33

73M

ukw

onag

o In

dust

rial P

ark

Sou

th s

ide

of C

TH E

S (F

ox S

treet

), ea

st

and

wes

t of H

olz

Par

kway

200

2

Vill

age

of N

orth

Pra

irie

74O

akrid

ge B

usin

ess

Par

kN

orth

of S

TH 5

9 al

ong

Oak

ridge

Driv

e13

5N

oN

one

Vill

age

of P

ewau

kee

75P

ewau

kee

Indu

stria

l Par

kE

ast a

nd w

est s

ide

of F

ores

t Gro

ve D

rive

alon

g H

icko

ry S

treet

bet

wee

n W

isco

nsin

A

venu

e an

d C

anad

ian

Pac

ific

Rai

lway

152

0

76Q

uail

Rid

ge B

usin

ess

Par

kS

outh

wes

t qua

dran

t of C

apito

l Driv

e (S

TH 1

90) a

nd F

ores

t Gro

ve D

rive

170

Vill

age

of S

umm

it77

Pab

st F

arm

s H

ealth

Cam

pus

Sou

thea

st q

uadr

ant o

f I-9

4an

d S

TH 6

716

03

Vill

age

of S

usse

x78

Sus

sex

Bus

ines

s P

ark

Sou

thw

est q

uadr

ant o

f Silv

er S

prin

g D

rive

(CTH

VV

) and

Tow

nlin

e R

oad

712

79S

usse

x C

orpo

rate

Cen

ter

Nor

thea

st q

uadr

ant o

f STH

164

and

C

TH K

183

4

80S

usse

x In

dust

rial P

ark

Sou

thea

st a

nd S

outh

wes

t qua

dran

t of

Mai

n S

treet

(STH

74)

and

Sus

sex

Roa

d so

uth

to S

ilver

Spr

ing

Driv

e (C

TH V

V)

900

Tow

n of

Bro

okfie

ld81

Cro

ssro

ads

Cor

pora

te C

ente

rS

outh

sid

e of

Sw

enso

n D

rive

alon

g C

ross

road

s C

ircle

, wes

t of B

arke

r Roa

d (C

TH Y

)

411

29

Tabl

e3

(con

tinue

d)

-6-

Loca

l Gov

ernm

ent

Site

No.

Par

k N

ame

Loca

tion

Siz

e (a

cres

) TI

FD

istri

ct(T

ID)

No.

of

Vac

ant

Par

cels

b

Tow

n of

Bro

okfie

ld

(con

tinue

d)82

Goe

rke

Bus

ines

s P

ark

Sou

th s

ide

of W

ater

tow

n R

oad

alon

g W

ater

tow

n C

ourt,

wes

t of B

arke

r Roa

d (C

TH Y

)

160

Tow

n of

Gen

esee

83G

enes

ee B

usin

ess

Par

kE

ast q

uadr

ant o

f Mai

n S

treet

and

W

isco

nsin

and

Sou

ther

n R

ailro

ad

railw

ay a

long

Litt

le J

ohn

Driv

e

191

Tow

n of

Lis

bon

84Q

uarr

y C

orne

rs B

usin

ess

Par

kS

outh

east

qua

dran

t of S

TH 7

4 an

d C

TH K

33A

ll

Tow

n of

Oco

nom

owoc

85O

cono

mow

oc W

est I

ndus

trial

P

ark

Sou

th s

ide

of W

isco

nsin

Ave

nue

(STH

16)

eas

t of D

ivis

ion

Stre

et59

2

Tow

n of

Ver

non

86V

erno

n En

terp

rise

Cen

treS

outh

sid

e of

CTH

ES

(Nat

iona

l Ave

nue)

, no

rth o

f I-4

3, o

ne m

ile e

ast o

f STH

164

, w

est o

f CTH

U

191

Tow

n of

Wau

kesh

a87

Roc

kwoo

d In

dust

rial A

rea

Wes

t sid

e of

STH

164

, sou

th o

f STH

59

(Les

Pau

l Pkw

y), a

long

Roc

kwoo

d W

ay60

0

a Incl

udes

offi

ce, b

usin

ess,

and

indu

stria

l par

ksw

ith a

min

imum

siz

e of

10

acre

s th

at a

re e

ither

par

tially

or f

ully

dev

elop

ed w

ithbu

ildin

gs, o

r whe

re p

ublic

sew

er

and

wat

er in

frast

ruct

ure

has

been

inst

alle

d.

b Num

ber o

f vac

ant p

arce

ls a

s of

Apr

il 20

15.

c Incl

udes

55

acre

s in

the

Vill

age

of S

umm

it.

Sou

rce:

Loc

al g

over

nmen

ts a

nd S

EWR

PC

.

30

Wau

k C

o E

con

Dev

el P

lan

Tbl 1

5 (0

0226

161-

2).D

OC

NM

A/R

LR/lg

h/km

d12

/16/

15; 6

/10/

15

-1-

Tabl

e4

PRO

POSE

D B

USI

NES

S PA

RK

S IN

WA

UK

ESH

Aa

CO

UN

TY: 2

015

Loca

l Gov

ernm

ent

Site

No.

Par

k N

ame

Loca

tion

Siz

e(a

cres

)P

ropo

sed

Fund

ing

Sou

rces

Est

imat

ed S

tart

Dat

eC

ity o

f Bro

okfie

ldA

Gum

ina

Com

mer

ce C

ente

rN

orth

of C

apito

l Driv

e (S

TH 1

90)

and

north

sid

e of

Gum

ina

Roa

d,

adja

cent

to C

apito

l Airp

ort

26TI

FTB

D; s

iteha

s

pote

ntia

l to

ex

pand

to th

e ea

st a

nd w

est

BTh

e C

orrid

orN

orth

wes

t qua

dran

t of I

-94

and

Cal

houn

Roa

d,so

uth

side

of

Blu

emou

nd R

oad

(US

H 1

8)

66TI

F an

d ot

her

Und

erw

ay

City

of M

uske

goC

Moo

rland

Roa

d Bu

sine

ss

Par

k N

ew b

usin

ess

park

alo

ng M

oorla

nd

Roa

d fro

m C

olle

ge A

venu

e to

Ja

nesv

ille

Roa

d

60TI

F an

d ot

her

TBD

DJa

nesv

ille

Roa

d B

usin

ess

Par

k N

ew b

usin

ess

park

adj

acen

t to

Tess

Cor

ners

Bus

ines

s P

ark

betw

een

Jane

svill

e R

oad

and

Col

lege

Ave

nue

45TI

F an

d ot

her

TBD

City

of N

ew B

erlin

EW

estri

dge

Bus

ines

s Pa

rk

Exp

ansi

on

Mix

ed-u

se b

usin

ess

park

ex

pans

ion

east

of M

oorla

nd

Roa

d, s

outh

of G

rang

e A

venu

e,

north

of C

olle

ge A

venu

e an

d w

est

of S

unny

Slo

pe R

oad

449

TIF,

Wau

kesh

a C

ount

y, W

EDC

TBD

FM

ill V

alle

y E

co-B

usin

ess

Par

k R

edev

elop

an

exis

ting

sand

and

gr

avel

min

ing

oper

atio

n w

ith a

m

ix o

f lig

ht m

anuf

actu

ring,

offi

ce,

and

smal

l-sca

le re

tail

229

TIF,

Wau

kesh

a C

ount

y, W

EDC

TBD

GLi

ncol

n A

venu

e B

usin

ess

Par

k

Red

evel

op a

n ex

istin

g sa

nd a

nd

grav

el m

inin

g op

erat

ion

into

a

busi

ness

par

k

281

TBD

TBD

City

of P

ewau

kee

HS

outh

Cap

itol D

rive

Dev

elop

men

tS

outh

sid

e of

Cap

itol D

rive

(STH

19

0) b

etw

een

CTH

F a

nd

Dup

lain

ville

Roa

d

100

Oth

erTB

D

IS

TH 1

6/R

yan

Roa

d D

evel

opm

ent

Nor

thw

est q

uadr

ant o

f STH

16

and

Rya

n R

oad

(CTH

KF)

, sou

th o

f Ly

nnda

le R

oad

(CTH

JK

)

183

Oth

erTB

D

Vill

age

of D

ousm

anJ

Dou

sman

Bus

ines

s P

ark

Eas

t sid

e of

STH

67,

north

of U

SH

18

115

TBD

TBD

Vill

age

of

Muk

won

ago

KG

atew

ay B

usin

ess

Par

k-W

auke

sha

Cou

nty

porti

onW

est s

ide

of S

TH 8

3, ju

st s

outh

of

I-43/

STH

83

inte

rcha

nge

95TI

FTB

D

Wauk Co Econ Devel Plan Tbl 15 (00226161-2).DOCNMA/RLR/lgh/kmd12/16/15; 6/10/15

- 1 -

Table 4

PROPOSED BUSINESS PARKS IN WAUKESHAa COUNTY: 2015

Local Government Site No. Park Name LocationSize

(acres)Proposed

Funding SourcesEstimated Start

DateCity of Brookfield A Gumina Commerce Center North of Capitol Drive (STH 190)

and north side of Gumina Road, adjacent to Capitol Airport

26 TIF TBD; site has potential to expand to the east and west

B The Corridor Northwest quadrant of I-94 and Calhoun Road, south side of Bluemound Road (USH 18)

66 TIF and other Underway

City of Muskego C Moorland Road Business Park

New business park along Moorland Road from College Avenue to Janesville Road

60 TIF and other TBD

D Janesville Road Business Park

New business park adjacent to Tess Corners Business Park between Janesville Road and College Avenue

45 TIF and other TBD

City of New Berlin E Westridge Business Park Expansion

Mixed-use business park expansion east of Moorland Road, south of Grange Avenue, north of College Avenue and west of Sunny Slope Road

449 TIF, Waukesha County, WEDC

TBD

F Mill Valley Eco-Business Park Redevelop an existing sand and gravel mining operation with a mix of light manufacturing, office, and small-scale retail

229 TIF, Waukesha County, WEDC

TBD

G Lincoln Avenue Business Park

Redevelop an existing sand and gravel mining operation into a business park

281 TBD TBD

City of Pewaukee H South Capitol Drive Development

South side of Capitol Drive (STH 190) between CTH F and Duplainville Road

100 Other TBD

I STH 16/Ryan Road Development

Northwest quadrant of STH 16 and Ryan Road (CTH KF), south of Lynndale Road (CTH JK)

183 Other TBD

Village of Dousman J Dousman Business Park East side of STH 67, north of USH 18

115 TBD TBD

Village of Mukwonago

K Gateway Business Park-Waukesha County portion

West side of STH 83, just south of I-43/STH 83 interchange

95 TIF TBD