Examining Current Demographic Features of Your Region. Module Five

Transcription

1 Examining Current Demographic Features of Your Region Module Five

2 Reflections on Previous Sessions Checking in on progress to date: Definition of economic development Exploration of region s history Invited partners Vision statement Other items?

3 Module Five Objectives Understand secondary data and its limitations Explore relevant demographic variables Examine key characteristics of the region s workforce Discover three to four themes for the region

4 PRESENTERS Alison Davis University of Kentucky Buddy Borden University of Nevada Cooperative Extension Clark County Office Tom Harris university of Nevada, Reno Department of Economics University Center for Economic Development

5 Past Lessons University of Kentucky Experience

6 WNDD WITH WASHOE COUNTY

7 DOUGLAS COUNTY

8 HUMBOLDT COUNTY

9 SIERRA PACIFIC MEGAPOLITAN

10 Secondary Data: Already exists Collected by someone else Can be qualitative or quantitative

11 Three Common Approaches to Analyzing Data Cross-sectional: Look at data at one point in time Comparative: Examine the data in your county or region relative to other counties or regions Longitudinal: Focus on how the data change over a longer time period

12 What to Look for in Your Data Conditions Direction of change Intensity of change Overall picture

13 How can data be analyzed to better understand my community? Basic Methods Absolute Change (two or more points) Percent Change (two or more points) Index Change (comparison to a base year) Percent Distribution

14 How can data be analyzed to better understand my community? Population Trends /- % Change Lincoln 3,879 3,951 3, % Nye 35,039 23,882 14, , % White Pine 8,863 9,609 7,710 +1, % Nevada 2,206,022 1,611, ,810 +1,250, %

15 How can data be analyzed to better understand my community? Data Presentation Examples Population (Absolute) 40,000 35,000 30,000 25,000 20,000 15,000 10,000 5, Lincoln Nye White Pine Population (Index) Lincoln Nye White Pine Nevada

16 How can data be analyzed to better understand my community? Employment Trends by Major Economic Sector Lincoln County Percent 1990 Percent % Change Farm % TPU % Retail Trade % Service 653 1, % Government % Other % Total 2,017 2, %

17 How can data be analyzed to better understand my community? Data Presentation Examples Employment (Absolute) Employment (% Change) % % 0.00% 25.00% 50.00% Farm Retail Trade Government Total TPU Service Other Farm Retail Trade Government Total TPU Service Other

18 How can data be analyzed to better understand my community? Data Presentation Examples Employment 1990 Employment % 29.8% 6.7% 7.2% 11.2% 49.8% 3.6% 10.4% 32.4% 7.3% 3.2% 16.1% Farm Retail Trade Government TPU Service Other Farm Retail Trade Government TPU Service Other

19 Understanding the Good & the Bad About Secondary Data

20 The Good About Secondary Data Already exist!! Less expensive Take less time to assemble Easier to use

21 The Bad! Secondary Data May... Have inconsistencies in definitions Be inaccurate, incomplete or biased Have problems with reliability Be only indirect measures of the issues Be outdated Require caution in interpretation

22 Questions You Should Consider What is the source of the data? Does it cover the correct geographical location? Does it provide data on my target audience? Does it deal with my issue/topic of concern? Is it current data? Are the data available for the same time period? Are definitions of variables the same over time?

23 Why Examine Conditions and Trends? Help identify a region s competitive advantage Highlight important changes in residents and business/industry Understand what has and hasn t worked in the past

24 Regional Planning Variables Size & Composition Distribution Migration Patterns Changes Performance Assessments School Enrollment Dropout Status Educational Attainment POPULATION EDUCATION Climate Local taxes LOCATION Infrastructure Cost of Living Commuting Patterns Natural Resource Amenities Available Land & Buildings SOCIAL Housing Crime Rates Poverty Status Health Care Resources Health & Nutrition Status Food Assistance Enrollment Child Care Access/Enrollment

25 Population Characteristics

26 Population Change, Source: U.S. Census

27 Population Sources of Change Total Population Change Natural Increase Net International Migration Domestic Migration United States 25,581,948 15,875,579 8,944,170 Northeast 1,688,851 1,877,814 1,835,442-2,539,582 Midwest 2,441,721 2,969,319 1,158,438-1,752,191 South 13,082,047 5,837,372 3,118,775 3,874,132 West 8,369,329 5,191,074 2,831, ,641 Source: U.S. Census

28 State Population Projections Source: U.S. Census

29 Population Age Percent of the Total Population 65 Years and Over: 2009 Source: U.S. Census

30 Population: Your Region Trends? Opportunities? Concerns?

31 Education Characteristics

32 Population High School Graduate or Less Source: U.S. Census

33 Closing the Gap?

34 In-School Success Source: National Assessment of Education Progress,

35 Education Your Region Trends? Opportunities? Concerns?

36 Location Characteristics

37 Location Cost of Living Composite Cost of Living (Scaled) 2nd Quarter 2010 Source: Missouri Economic Research and Information Center

38 Location Natural Amenities Source: Economic Research Service, USDA

39 Location Basic Broadband Adoption, 2009 Source: Federal Communications Commission

40 Trends? Location Your Region Opportunities? Concerns?

41 Social Characteristics

42 Social - Poverty in Rural America, 2009

43 Social - % Without Health Insurance, 2006

44 Social - Change in Food Stamps (SNAP) Use by States, FY

45 Social Your Region Trends? Opportunities? Concerns?

46 Demographic Data Wrap Up Overlapping themes Prioritized challenges & opportunities Criteria for prioritizing

47 Regional Workforce

48 Your People Your Labor Force Experience Skills Willingness to work Training What else defines your labor force?

49 How to Measure Experience?

50 Skills Source:

51 Example: Manufacturing Identifying Skills in the Region Employed by this Industry Occupation 100% Pourers and Casters, Metal Projected Growth ( ) Decline rapidly Projected Job Openings ( ) % Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers Decline rapidly % Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders Decline rapidly % Computer-Controlled Machine Tool Operators, Metal and Plastic Average % Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic Decline rapidly % Textile Bleaching and Dyeing Machine Operators and Tenders Decline rapidly 1700 /

52 Willing to Work? An important question! How do we measure willingness to work? Labor force participation rates Supplemental Security Income (SSI) & Disability Payments

53 U.S. Labor Force Participation

54 Supplemental Security Income (SSI) Recipients, 2009

55 Training Institutions of Higher Education Community Colleges Technical Schools Workforce Training Programs

56 Workforce Influences Is your region retaining the skills it creates? What type of skills does your region attract? Does your region attract retirees?

57 Trends? Regional Workforce Your Region Opportunities? Concerns?

58 Final Reflections What are the takeaways from this module? What topics did you find most helpful? What did you find confusing? Other data you would like to explore? Other items you want to mention?

59 Looking Ahead: Module Six Basic concepts of competitive advantage Approaches to analyzing regional connections Tools and data for detecting regional competitive advantage Strategies for building stronger regional economies

60 Additional Resources

61 Census Data U.S. Census Bureau Main Portal Census Bureau A-Z Subjects Census of Agriculture State and Metropolitan Area Data Book American Community Survey

62 US Census QuickFacts

63 SRDC Community Data Center

64 American FactFinder

65 STATSAmerica

66 STATSAmerica