SOCIO-ECONOMIC DATA FOR WNDD. Presentation by: Tom Harris and Buddy Borden

Transcription

1 SOCIO-ECONOMIC DATA FOR WNDD Presentation by: Tom Harris and Buddy Borden

2 Understanding WNDD Regional Strengths and Weaknesses Understanding Strengths and Weaknesses was a crucial piece of a successful region as defined in Module 2 in March in Carson City. (SET Facilitators Guidebook Page 2.29).

3 QUESTIONS TO BE DISCUSSED TODAY What are the current socio-economic conditions in WNDD? What components of the WNDD demographics and economy are growing or declining? What options exist for improving demographics and economic conditions in WNDD, and what options should we pursue first?

4 Silicon Valley Index Measures for Success Successful region can measures its success by: 1. Population Change 2. Educational Attainment 3. Employment 4. Occupational Skills (Source for 1 to 3: Index of Silicon Valley, Silicon Valley Community Foundation/Joint Venture Silicon Valley Network: San Jose, CA, 2011: P. 14. Accessed July 5, 2012 at:

5 Why Are There Changes in Proportional Share in Goods-Producing and Service-Producing Industries? Increased Efficiencies Increased Personal Income and Changes in Demand Changes in World Economy

6 Proportionate Shares of Sources of Income for the U.S., State of Nevada, and WNDD from 1969 to 2010

7 County Population, Rank of Population and Change in Population Rank, WNDD and State of Nevada, 2000 to 2010 County Change in Rank Population Rank Population Rank Clark 1,375, ,951, Washoe 339, , Carson City 52, , Elko 45, , Douglas 41, , Lyon 34, , Nye 32, , Churchill 23, , Humboldt 16, , White Pine 9, , Pershing 6, , Lander 5, , Mineral 5, , Lincoln 4, , Storey 3, , Eureka 1, , Esmeralda WNDD 183, ,191 WNDD Plus Washoe 522, ,598 TOTAL 1,998,257 2,700,551

8 Population by Age and Proportionate Share of Population by Age, Western Nevada Development District, 2000 and Age Group Number Proportionate share Number Proportionate share Under 5 11, % 12, % 5 to 9 13, % 12, % 10 to 14 14, % 13, % 15 to 19 12, % 13, % 20 to 24 8, % 10, % 25 to 34 21, % 23, % 35 to 44 29, % 25, % 45 to 54 27, % 32, % 55 to 64 19, % 30, % 65 to 74 14, % 20, % 75 to 84 8, % 10, % 85 and above 2, % 3, % 65 and above 13.56% 16.57% TOTAL 183, % 211, %

9 Trends in Population by Race, Western Nevada Development District, 2000 and Race Number Proportionat e Share Number Proportionate Share Percentage Change 2000 to 2010 White 158, % 177, % % Black or African- American 2, % 2, % % American Indian or Alaska native 5, % 6, % % Asian & Pacific Islander 2, % 4, % % Other Race 13, % 20, % % Total 183, % 211, % % Hispanic or Latino (of any race) 21, % 33, % %

10 Nevada County Educational Attainment, Residents 25 and Older, 2010 County High School or Better Bachelor s or Better Graduate or Professional Churchill 87.7% 18.2% 6.6% Clark 83.5% 21.7% 7.2% Douglas 91.2% 25.9% 9.9% Elko 84.5% 15.8% 5.1% Esmeralda 84.1% 21.1% 6.1% Eureka 88.2% 17.8% 3.0% Humboldt 80.9% 13.4% 3.1% Lander 75.0% 12.9% 2.5% Lincoln 83.0% 15.8% 6.2% Lyon 85.8% 12.7% 4.2% Mineral 86.3% 8.2% 1.7% Nye 81.7% 10.5% 2.7% Pershing 79.4% 12.4% 3.6% Storey 91.8% 13.9% 5.5% Washoe 86.4% 26.7% 9.7% White Pine 83.8% 13.4% 3.8% Carson City 88.0% 21.6% 9.0% WNDD 87.1% 18.0% 6.9% WNDD Plus Washoe 54.3% 21.8% 7.4% NEVADA 85.0% 27.9% 10.3%

11 WNDD 85.8% 89.0% WNDD Plus Washoe 82.6% 85.8% NEVADA 86.8% 87.5% Nevada County Educational Attainment, High School or Better, Selected Age Groups, 2010 County High School or Better 25 to 34 Years Old High School or Better 45 to 64 Year Olds Churchill 91.9% 89.8% Clark 82.2% 85.0% Douglas 89.3% 92.7% Elko 84.7% 85.0% Esmeralda 100.0% 86.0% Eureka 78.4% 91.8% Humboldt 82.8% 80.8% Lander 77.1% 77.3% Lincoln 74.2% 85.6% Lyon 82.7% 87.8% Mineral 96.1% 89.9% Nye 79.4% 83.1% Pershing 69.7% 80.1% Storey 100.0% 88.9% Washoe 83.4% 87.6% White Pine 85.2% 86.9% Carson City 85.4% 90.0%

12 Group Exercise 1. What are the WNDD Region s Strengths from a Demographic Perspective 2. What are the WNDD Region s Weaknesses from a Demographic Perspective

13 Two Economic Development Procedures Export Enhancement Import Substitution

14 Export Enhancement Export Enhancement seeks to find economic sectors which WNDD has had relative success in attracting and nurturing during the past

15 Import Substitution Import Substitution seeks to reduce money outflows from WNDD by creating economic development opportunities to fill the demands for goods and services by WNDD businesses and institutions

16 Types of Import Substitution GAPS are demands for goods and services by WNDD industries and institutions purchased outside the WNDD Area because they are not produced locally. These are called Non- Competitive Imports. DISCONTECTS are demands for goods and services by WNDD industries and institutions purchased outside the WNDD Area but are produced locally. These are called Competitive Imports.

17 CRITERIA FOR SELECTING EXPORT ENHANCEMENT SECTORS IN WNDD Criteria used for selection follows data supplied by the Southern Rural Development Center: 1. Location Quotients for Jobs in Hobs in Percentage Change in Jobs from 2006 to Average Earnings for 2011

18 CALCULATION OF LOCATION QUOTIENT LQ i = LEI i / TLE NEI i / TNE Where: LEI j = Local Employment Industry i TLE = Total Local Employment NEI j = National Employment Industry i TNE = Total National Employment

19 EXAMPLE LQ CALCULATION

20 BUBBLE CHART AREAS

21 BUBBLE CHART ANALYSIS WITH SRDC DATA

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24 CLUSTER RATING CLUSTER Business & Financial AER Energy Biomedical Transportation &Logistics Agricultural Business Defense Advanced Materials Mining IT Telecommunications Printing Fabricated Metal Chemicals Education Forest Computer Transportation Equipment Primary Metal Apparel Machinery Glass Electrical Category STAR MATURE STAR STAR STAR MATURE STAR TRANSFORMING EMERGING TRANSFORMING TRANSFORMING TRANSFORMING TRANSFORMING EMERGING TRANSFORMING TRANSFORMING TRANSFORMING TRANSFORMING TRANSFORMING EMERGING TRANSFORMING TRANSFORMING

25 RANKING OF WNDD CLUSTERS-SRDC Business & Financial Energy Transportation & Logistics AER Biomedical Advanced Materials Mining Defense Primary Metal IT Telecomm Machinery Chemicals Agricultural Business Computer Fabricated Metal Education Glass Transportation Equipment Printing Electrical Forest Apparel CLUSTER

26 DETAILED SECTOR BY SRDC CLUSTER

27 Group Exercise Which clusters should WNDD pursue and why? Which clusters should WNDD not pursue and why?

28 SIERRA PACIFIC MEGAPOLITAN