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.
TLX Technologies
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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
Hunzinger Construction
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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.
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EAGLE
LISBONMERTON
OTTAWA
VERNON
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MUKWONAGO
OCONOMOWOC
BROOKFIELD
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VILLAGE OFMERTON
VILLAGE OFSUSSEX
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VILLAGE OFBUTLER
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VILLAGE OFDOUSMAN
VILLAGE OFHARTLAND
VILLAGE OFPEWAUKEE
VILLAGE OFNASHOTAH
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VILLAGE OFBIG BEND
VILLAGE OFMUKWONAGO
VILLAGE OFMENOMONEE FALLS
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CITY OFWAUKESHA
CITY OFDELAFIELD
CITY OFOCONOMOWOC
CITY OFNEW BERLIN
CITY OFBROOKFIELD
CITY OFPEWAUKEE
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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
k C
o E
con
Dev
el P
lan
Tbl 1
4 (0
0226
162-
2).D
OC
NM
A/R
LR/k
md
12/1
7/15
; 6/8
/15
-1-
Tabl
e3
EXIS
TIN
G B
USI
NES
S PA
RK
SaIN
WA
UK
ESH
A C
OU
NTY
:201
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
City
of B
rook
field
112
4thC
omm
erce
Dis
trict
Sou
thw
est q
uadr
ant o
f 124
thSt
reet
and
C
apito
l Driv
e (S
TH 1
90)
122
0
2B
isho
p’s
Woo
ds O
ffice
Par
kS
outh
east
qua
dran
t of B
luem
ound
Roa
d (U
SH
18)
and
Sun
nysl
ope
Roa
d16
70
3B
rook
field
Indu
stria
l Par
kW
est s
ide
of B
arke
r Roa
d (C
TH Y
) jus
t so
uth
of G
ebha
rdt R
oad
980
4B
rook
field
Lak
es C
orpo
rate
C
ente
rS
outh
east
and
sou
thw
est q
uadr
ants
of
Blu
emou
nd R
oad
(US
H 1
8) a
nd
Cor
pora
te D
rive
138
1
5E
astg
ate
Bus
ines
s C
ente
rN
orth
sid
e of
Lis
bon
Roa
d, o
ne-h
alf m
ile
wes
t of 1
24th
Stre
et
160
6E
xecu
tive
Driv
e O
ffice
Par
kS
outh
east
and
sou
thw
est q
uadr
ants
of
Blu
emou
nd R
oad
(US
H 1
8) a
nd
Exe
cutiv
e D
rive
108
0
7G
atew
ay W
est C
omm
erce
C
ente
rS
outh
east
qua
dran
t of C
apito
l Driv
e (S
TH 1
90) a
nd S
prin
gdal
e R
oad
146
5
8G
lenw
ood
Exe
cutiv
e C
ente
rN
orth
east
qua
dran
t of C
apito
l Driv
e (S
TH
190)
and
Pilg
rim R
oad
(CTH
YY)
80
9N
orth
east
Indu
stria
l Par
kN
orth
wes
t qua
dran
t of C
apito
l Driv
e (S
TH 1
90) a
nd 1
24th S
treet
96
0
10P
heas
ant D
rive
Indu
stria
l Par
kN
orth
east
qua
dran
t of C
alho
un R
oad
and
Phe
asan
t Driv
e 30
0
11Fo
x R
iver
Bus
ines
s C
ente
rS
outh
wes
t qua
dran
t of C
apito
l Driv
e (S
TH 1
90) a
nd R
ichl
and
Par
kway
110
City
of D
elaf
ield
12C
ushi
ng P
ark
Bus
ines
s C
ente
rW
est s
ide
of C
ushi
ng P
ark
Roa
d,
north
of I
-94,
sou
th o
f Mai
n S
treet
331
13K
ettle
Mor
aine
Bus
ines
s Pa
rkS
outh
wes
t qua
dran
t of H
illsi
de D
rive
and
Map
le R
oad
(CTH
E)
643
City
of M
uske
go14
Mus
kego
Com
mer
ce C
ente
r –E
ast a
ndW
est
Eas
t and
wes
t sid
e of
Moo
rland
Roa
d be
twee
n Ja
nesv
ille
Roa
d an
d C
olle
ge A
venu
e
162
4
15M
uske
go In
dust
rial P
ark
Sou
th q
uadr
ant o
f Rac
ine
Ave
nue
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
Tabl
e3
(con
tinue
d)
-2-
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
City
of M
uske
go(c
ontin
ued)
16Te
ss C
orne
rs In
dust
rial P
ark
Sou
thea
st q
uadr
ant o
f Tes
s C
orne
rs R
oad
and
Col
lege
Ave
nue
430
City
of N
ew B
erlin
17N
ew B
erlin
Indu
stria
l Par
kW
est o
f Moo
rland
Roa
d, s
outh
of N
ew
Ber
lin R
ecre
atio
n Tr
ail,
north
of C
offe
e R
oad,
wes
t to
179th
Stre
et
1,15
95
18To
wne
Cor
pora
te B
usin
ess
Par
k N
orth
wes
t and
nor
thea
st q
uadr
ant o
f I-4
3an
d M
oorla
nd R
oad,
nor
th a
nd s
outh
of
Bel
oit R
oad,
eas
t of C
alho
un R
oad
308
5
19W
estri
dge
Bus
ines
s Pa
rkS
outh
wes
t and
sou
thea
stqu
adra
nts
of
I-43
and
Moo
rland
Roa
d33
95
City
of O
cono
mow
oc20
Oco
nom
owoc
Cor
pora
te
Cen
ter
Nor
thw
est q
uadr
ant o
f I-9
4an
d S
TH 6
725
7TI
D #
2 an
d #3
2
21P
abst
Far
ms
Bus
ines
s P
ark
Nor
thw
estq
uadr
ant o
f I-9
4an
d S
awye
r R
oad
(CTH
P)
199c
TID
#3
All
22P
abst
Far
ms
Bus
ines
s P
ark-
Nor
thE
ast s
ide
of S
TH 6
7 no
rth a
nd s
outh
sid
e of
Oco
nom
owoc
Par
kway
and
sou
th o
f P
abst
Roa
d
58TI
D #
3A
ll
23P
abst
Far
ms
Com
mer
ce
Cen
tre
Sou
thw
est q
uadr
ant o
f I-9
4an
d S
TH 6
724
0TI
D #
35
24R
iver
Ben
d In
dust
rial P
ark
Wes
t of t
he O
cono
mow
oc R
iver
and
sou
th
of W
isco
nsin
Ave
nue
(STH
16)
122
No
0
City
of P
ewau
kee
25B
lue
Mou
nd E
ast I
ndus
trial
P
ark
Nor
thw
est q
uadr
ant o
f Blu
emou
nd R
oad
(CTH
JJ)
and
Spr
ingd
ale
Roa
d14
0N
o2
26B
lue
Mou
nd In
dust
rial P
ark
Bet
wee
n I-9
4an
d Bl
uem
ound
Roa
d (C
TH J
J), e
ast o
f CTH
F12
2N
o0
27C
TH F
/Dup
lain
ville
Roa
d C
orrid
orA
long
CTH
F a
nd D
upla
invi
lle R
oad
betw
een
Cap
itol D
rive
(STH
190
) and
W
ater
tow
n R
oad
(CTH
M)
314
No
5
28H
arki
n/Sc
ot In
dust
ries
Eas
t and
wes
t sid
e of
Blu
emou
nd R
oad
(CTH
JJ)
nor
th o
f I-9
411
8N
o4
29In
ters
tate
Par
tner
s/B
ayer
lein
D
evel
opm
ent
Nor
th s
ide
of B
luem
ound
Roa
d (C
TH J
J),
east
of P
ewau
kee
Roa
d (C
TH J
) and
w
est o
f Bus
se R
oad
50N
o0
30Je
richo
Indu
stria
l Par
kN
orth
wes
t qua
dran
t of W
ater
tow
n R
oad
and
Spr
ingd
ale
Roa
d27
No
0
31P
ewau
kee
Bus
ines
s C
ente
r (R
ound
y O
pus
Indu
stria
l P
ark)
Wes
t sid
e of
CTH
F, n
orth
of C
TH M
(W
ater
tow
n R
oad)
18
0N
o0
26
Tabl
e3
(con
tinue
d)
-3-
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
City
of P
ewau
kee
(con
tinue
d)32
Pew
auke
e C
orpo
rate
Par
kN
orth
sid
e of
CTH
M (W
ater
tow
n R
oad)
, on
e-qu
arte
r mile
eas
t of S
TH16
422
No
1
33P
ewau
kee
Cro
ssro
ads
Cen
ter/W
estw
ood
Com
mer
ce C
ente
r
Nor
thea
st q
uadr
ant o
f I-9
4an
d C
TH F
77N
o0
34P
ewau
kee
Woo
ds C
omm
erce
C
ente
rE
ast s
ide
of S
TH 1
64, n
orth
of C
TH M
(W
ater
tow
n R
oad)
125
No
0
35R
& D
Indu
stria
l Par
kW
est s
ide
of D
upla
invi
lle R
oad
alon
g M
arje
an L
ane
21N
o1
36R
idge
view
Cor
pora
te P
ark
Nor
thw
est q
uadr
ant o
f I-9
4an
d C
TH F
378
No
2
37R
iver
woo
d C
orpo
rate
Cen
ter
Wes
t sid
e of
STH
164
, one
-hal
f mile
nor
th
of I-
9413
1N
o1
38S
tone
Rid
ge B
usin
ess
and
Indu
stria
l Par
kN
orth
east
qua
dran
t of I
-94
and
STH
164
144
No
1
39To
wer
Pla
ceN
orth
wes
t qua
dran
t of P
ewau
kee
Roa
d (S
TH 1
64) a
nd I-
94 a
long
Tow
er P
lace
30N
o0
40W
oods
view
Com
mer
ce C
ente
rN
orth
sid
e of
CTH
M (W
ater
tow
n R
oad)
, on
e-ha
lf m
ile e
ast o
f STH
164
and
wes
t of
CTH
F
28N
o3
City
of W
auke
sha
41H
illcr
est B
usin
ess
Cen
ter
Sou
thea
st q
uadr
ant o
f STH
164
and
M
ain
Stre
et, n
orth
of S
TH 5
975
TID
#82
42Li
ncol
n A
venu
e In
dust
rial A
rea
Eas
t and
wes
t sid
e of
STH
59
betw
een
Arc
adia
n A
venu
e an
d E
llis
Stre
et, e
ast
of F
rede
rick
Stre
et
235
2
43P
ebbl
e C
reek
Indu
stria
l Par
kN
orth
east
qua
dran
t of P
opla
r Driv
e an
d B
adge
r Driv
e67
TID
#5
(Por
tion)
0
44P
riede
man
Bus
ines
s C
ente
rE
ast o
f STH
164
, nor
th o
f Mai
n S
treet
, so
uth
of U
SH
18
290
45S
entry
Driv
e In
dust
rial A
rea
Bet
wee
n S
entry
Driv
e an
d C
anad
ian
Nat
iona
l Rai
lway
and
bet
wee
n P
rogr
ess
Ave
nue
and
Col
lege
Ave
nue
192
1
46S
prin
g C
ity B
usin
ess
Par
kN
orth
wes
t qua
dran
t of S
entry
Driv
e an
d S
unse
t Driv
e54
TID
#1
3
47W
auke
sha
Cor
pora
te C
ente
rS
outh
sid
e of
STH
59,
eas
t of C
ente
r R
oad,
wes
t of C
anad
ian
Nat
iona
l R
ailw
ay
145
9
27
Tabl
e3
(con
tinue
d)
-4-
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
City
of W
auke
sha
(con
tinue
d)48
Wau
kesh
a A
irpor
t Ind
ustri
al
Par
k B
etw
een
Nor
thvi
ew R
oad
and
Mor
elan
d B
oule
vard
, wes
t of W
auke
sha
Cou
nty
Exp
o C
ente
r
115
TID
#6
2
49W
auke
sha
Indu
stria
l Par
kS
outh
east
qua
dran
t of S
unse
t Driv
e an
d P
rairi
e A
venu
e84
0
50W
auke
sha
Indu
stria
l Par
k –
Sou
thS
outh
wes
t qua
dran
t of S
TH 5
9 an
d S
TH 1
6493
0
51W
estm
orel
and
Indu
stria
l Par
kE
ast o
f the
Gen
esee
Roa
d an
d M
acA
rthur
R
oad
inte
rsec
tion,
wes
t of t
he F
ox R
iver
200
Vill
age
of B
ig B
end
52B
ahl B
usin
ess
Par
kN
orth
east
qua
dran
t of S
TH 1
64 a
nd C
TH
ES
(Nat
iona
l Ave
nue)
147
All
53B
ig B
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