Why data?Mississippi River HillsFebruary 17, 2006

Amy Lake, Extension AssociateCommunity Policy Analysis Center

University of Missouri-Columbia230 Middlebush HallColumbia MO 65211

573-882-5412lakea@missouri.edu

Community Policy Analysis CenterUniversity of Missouri-Columbia

CPAC's Mission:

To provide research, outreach and training that supports improved policy decisions

affecting communities

http:www.cpac.missouri.edu

CPAC partnerships with communities Objectives for Community Decision Support

Enhanced quality of community information Improved access to information for all citizens Broader participation in decision making Improved capacity for "what-if" analysis

  Questions that Communities Ask Something just happened in our community.  What does it mean? How important is this industry to our economy? What can we do to improve the quality of life in our community?

How CPAC Works with Communities The project is community-directed CPAC's objective is decision support A CPAC project is a partnership

Community Enterprise and Entrepreneurial Development

(CEED) New UMC Extension program Five pilot projects received grants in MO 2005 CEED interim director: Karen Dabson

Amy Lake’s role Mississippi River Hills’ CEED “Liaison” to the UMC

(member of CEED Core Team) Help MRH partners find necessary TA and information

available through UM Provide CEED Program with feedback from you

Letitia Johnson, Ste. Genevieve Extension, about MS River Hills Project“If there are only two words you remember from

this presentation, remember…

REGIONAL IDENTITY”

Regional identity means…

Need regional data,

research and evaluation to

1. Make better decisions

2. Show effectiveness of project

Dr. Ray Massey, MU Dept of Ag Economics, about Horizon Point Weather

“PRECISE” information “PROCESSED” information “For better MANAGEMENT decisions”

“Accurate information” is a relative term

Data Challenges

Regional data for 6 counties in Mississippi River Hills area are not readily available Much data is available for individual counties

Data on the impacts of entrepreneurship are not readily available Region may need to identify its own measures of

success / change / impact

Data collection process

1. Review and summarize previously completed assessments / research on region

2. Conduct community or regional assessment General Focus: population, socioeconomic, business,

public revenue and expenses Specific Focus: Entrepreneurial Climate

3. Have public meeting to review data

4. Identify issues to follow up

5. Follow-up: primary data collection

6. REPORT INFO IN USABLE FORMAT

Source: Bureau of Economic Analysis BEARFACTS

Per Capita Personal Income 2003

$31,472$29,464

$27,895$26,352

$22,918$21,391

$23,254

$24,083

$-

$5,000

$10,000

$15,000

$20,000

$25,000

$30,000

$35,000

US MO CapeGirardeau

Jefferson Perry St.Francois

Ste.Genevieve

Scott

US

MO

Cape Girardeau

Jefferson

Perry

St. Francois

Ste. Genevieve

Scott

Source: Bureau of Economic Analysis BEARFACTS

Annual Average Growth for Per Capita Personal Income1993-2003

4.4%

4.0%4.0%

4.6%

4.5%

3.9%

4.3%

4.2%

3.4%

3.6%

3.8%

4.0%

4.2%

4.4%

4.6%

4.8%

US MO CapeGirardeau

Jefferson Perry St. Francois Ste.Genevieve

Scott

Place

Per

cen

tag

e

US

MO

Cape Girardeau

Jefferson

Perry

St. Francois

Ste. Genevieve

Scott

Percentage Living in Poverty 2000

16.1%

8.2%

14.9%

9.0%

6.8%

11.1%

11.7%12.40%

0.00%

2.00%

4.00%

6.00%

8.00%

10.00%

12.00%

14.00%

16.00%

18.00%

US MO CapeGirardeau

Jefferson Perry St. Francois Ste.Genevieve

Scott

US

MO

Cape Girardeau

Jefferson

Perry

St. Francois

Ste. Genevieve

Scott

Source: 2000 US Census

Source: Iowa State University Office of Social and Economic Trend Analysis

Sector notes: (1) Forestry, fishing, related activities and other; (2) Real estate and rental and leasing; (3) Management of companies and enterprises; (4) Other services, except public administration

Percentage of Non Farm Jobs in Ste. Genevieve County and Missouri

4.1

0

8.2

0

3.3

0 0 0 01.1

6.9

1514.2

5.1

23.5

2.73.2

0.31.9

0.9

9.7

0

5

10

15

20

25

Per

cen

tag

e

Ste.GenevieveCountyMissouri

Location Quotients for Ste. Genevieve County(Greater than 1 may indicate local competitive advantage)

8.5

0

1.4

2.4

0

0.9 1

0.40.7 0.7

0 0 0 0

0.81.2 1

0

0.5 0.50.3

0

1

2

3

4

5

6

7

8

9

Ste.GenevieveCountyMissouri

Source: Iowa State University Office of Social and Economic Trend Analysis

Sector notes: (1) Forestry, fishing, related activities and other; (2) Real estate and rental and leasing; (3) Management of companies and enterprises; (4) Other services, except public administration

Farm Employment as a Total Employment

14.3%

11.7%

9.7%

3.5%

5.8%

4.3%

1.9%2.3%

3.3%

0.0%

2.0%

4.0%

6.0%

8.0%

10.0%

12.0%

14.0%

16.0%

   1980 1990 2000

Pe

rce

nta

ge

Ste. Genevieve County

Missouri

United States

Source: Iowa State University Office of Social and Economic Trend Analysis

Source: Iowa State University Office of Social and Economic Trend Analysis

Source: Iowa State University Office of Social and Economic Trend Analysis

Source: Iowa State University Office of Social and Economic Trend Analysis

Source: Iowa State University Office of Social and Economic Trend Analysis

Source: Iowa State University Office of Social and Economic Trend Analysis

Source: Iowa State University Office of Social and Economic Trend Analysis

Recent research / secondary data

Entrepreneurship in Missouri

http://oseda.missouri.edu/meric/index.shtml

By

OSEDA

(Office of Social and Economic Data Analysis)

and

MERIC

(MO Economic Research and Information Center

MO Department of Economic Development)

From Report Entrepreneurship in Missouri by OSEDA and MERIC

From Report Entrepreneurship in Missouri by OSEDA and MERIC

Definition of Entrepreneur

Full-Time Entrepreneurs are defined as those individuals who either report over 50 percent of their total income as self employment income or who classify themselves as self employed in either an incorporated or an unincorporated business.

Part-Time Entrepreneurs are defined as those individuals who report between 20 and 50 percent of their total income as self employment income. Since many full-time business owners begin with a part-time business, the goal of the part-time self employment classification is to identify industries and occupations within regions that have the potential for significant business ownership and self employment income.

From Report Entrepreneurship in Missouri by OSEDA and MERIC

Cape Girardeau-Ste. Genevieve PUMA

FULL-TIME E-ers

PART-TIME E-ers

Total PUMA Region Population over 18

Number 6,172 5,637 139,813

Income from self-employment $23,463 $3,074 $1,185

Total Income from all sources $25,961 $40,688 $22,582

Percentage below poverty 11.6% 8.3% 11.3%

High school graduate percentage 41.0% 36.8% 37.1%

Bachelors or Associate Degree percentage 14.4% 16.8% 14.0%

Do these data match our needs? Do these data answer our question? Region ? Definition of Entrepreneur ? What else do we want to know about

entrepreneurs in the region?

How can we get data that answers our questions?

CEED Project Data Questions

Is the number of entrepreneurs increasing? Are entrepreneurs’ sales/profits of local produced

products increasing as a result of the project? Is the region drawing more tourists for longer visits?

Are tourists aware of or visiting more regional businesses? How much money are they spending and what are they spending it on?

Are local residents purchasing locally produced products?

Is there potential to use internet to increase sales? If so, how?

Reasons for community (MS River Hills ) to analyze and collect data Learn more about yourself Understand the effects of your project (MO Regional

Cuisines Project / CEED grant) Understand change and trends over time Share information with others about the project Identify potential opportunities for collaboration and

challenges to be addressed collectively Human resources issues, marketing issues

Make better business / project / policy decisions Improve ability to access outside TA and grants

Outsiders’ reasons for collecting and analyzing data in MS River Hills Outside researcher reasons

Replicate project in other places Develop best practices to share with others Affect policy at local, state, regional level Develop professional research portfolio Institutional requirements of profession Job satisfaction

Outside funder / grantmakers’ reasons Ensure that investment will be / was worthy

Entrepreneurs:is the number increasing?

Who are the ENTREPRENEURS in the MS River Hills area? Secondary data: Age, residence, business type,

other employment, education, gender Primary data: Goals, experience, commitment to

MO products, marketing preferences, challenges ? Internet sales

Customers

Secondary data: local tourism boards Primary data:

Customer survey: Length of stay, residence, number, type and location of businesses visited, how found out about place/business, amount of money spent on different purchases (gas, hotel, gifts, etc), return customer/intent to return

Local business survey: customer base and draw, total sales, average sales amount, marketing strategies and goals, opportunity for cooperation

Places: counties, cities, region

Secondary data: People: Population, age, income, education, gender,

household makeup, commuting patterns Economy: sales tax, business mix (number and type of

business), retail trade analysis, pull factor, jobs Primary data:

Entrepreneurship environment: Surveys of local resources Local residents: attitudes and buying habits (community

survey) Business: customer base, geographic pull of customers,

number of employees, wages, benefits internet business activity, human resources issues, equipment issues, goals,

Potential: people who want/can open business, opportunity for cooperation, making links between big/small, different types of businesses

What do you want to know?

Are there secondary data sources available to answer the question? Who will gather and analyze it? How? How often?

Can the data be collected? By whom? From Whom? Through what means?

Why should people share data/incentive? Who will analyze the data? How will the data be reported back to source?

Contact informationAmy Lake

Extension Associate

Community Policy Analysis Center

University of Missouri-Columbia

230 Middlebush Hall

Columbia MO 65211

573-882-5412

lakea@missouri.edu

Interim Director of CEED:

Karen Dabson

573-884-0669Email:  dabsonk@missouri.edu