SOCIO-ECONOMIC DATA FOR WNDD

Presentation by:Tom Harris

and Buddy Borden

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).

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?

Silicon Valley Index Measures for Success

Successful region can measures its success by:1. Population Change 2. Educational Attainment 3. Employment4. 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: http://www.siliconvalleycf.org/docs/joint-venture/2011-jv-index.pdf)

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

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

County Population, Rank of Population and Change in Population Rank, WNDD and State of Nevada, 2000 to 2010

County 2000 2010 Change in Rank  Population Rank Population Rank  

Clark 1,375,765 1 1,951,269 1 0Washoe 339,486 2 421,407 2 0Carson City 52,457 3 55,274 3 0Elko 45,291 4 48,818 5 -1Douglas 41,259 5 46,997 6 -1Lyon 34,501 6 51,980 4 +2Nye 32,485 7 43,946 7 0Churchill 23,982 8 24,877 8 0Humboldt 16,106 9 16,528 9 0White Pine 9,181 10 10,030 10 0Pershing 6,693 11 6,753 11 0Lander 5,794 12 5,775 12 0Mineral 5,071 13 4,772 14 -1Lincoln 4,165 14 5,345 13 +1Storey 3,399 15 4,010 15 0Eureka 1,651 16 1,987 16 0Esmeralda 971 17 783 17 0

WNDD 183,468   211,191    WNDD Plus Washoe 522,954   632,598    TOTAL 1,998,257   2,700,551    

Population by Age and Proportionate Share of Population by Age, Western Nevada Development District, 2000 and 2010.

2000 2010

Age Group NumberProportionate

share Number Proportionate share

Under 5 11,735 6.40% 12,624 5.98%5 to 9 13,069 7.12% 12,937 6.13%10 to 14 14,091 7.68% 13,596 6.44%15 to 19 12,432 6.78% 13,592 6.44%20 to 24 8,706 4.75% 10,935 5.18%25 to 34 21,887 11.93% 23,329 11.05%35 to 44 29,939 16.32% 25,557 12.10%45 to 54 27,156 14.80% 32,792 15.53%55 to 64 19,567 10.67% 30,840 14.60%65 to 74 14,294 7.79% 20,826 9.86%75 to 84 8,480 4.62% 10,550 5.00%

85 and above 2,112 1.15% 3,613 1.71%65 and above 13.56% 16.57%

TOTAL 183,468 100.00% 211,191 100.00%

Trends in Population by Race, Western Nevada Development District, 2000 and 2010

  2000 2010  

Race NumberProportionat

e ShareNumber

Proportionate Share

Percentage Change 2000 to 2010

White 158,929 86.65% 177,244 83.93% +11.52%

Black or African-American 2,375 1.29% 2,643 1.25% +11.28%

American Indian or Alaska native 5,645 3.08% 6,332 3.00% +12.17%

Asian & Pacific Islander 2,733 1.49% 4,017 1.90% +46.98%

Other Race 13,728 7.48% 20,955 9.92% +52.64%

Total 183,410 100.00% 211,191 100.00% +15.15%           

Hispanic or Latino (of any race) 21,319 11.62% 33,773 15.99% +58.42%

Nevada County Educational Attainment, Residents 25 and Older, 2010County 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%

Nevada County Educational Attainment, High School or Better, Selected Age Groups, 2010

County High School or Better25 to 34 Years Old

High School or Better45 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%

WNDD 85.8% 89.0%WNDD Plus Washoe 82.6% 85.8%NEVADA 86.8% 87.5%

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

Two Economic Development Procedures

• Export Enhancement

• Import Substitution

Export Enhancement

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

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

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.

CRITERIA FOR SELECTING EXPORT ENHANCEMENT SECTORS IN WNDD

• Criteria used for selection follows 2006-2011 data supplied by the Southern Rural Development Center:

1. Location Quotients for 20112. Jobs in 20063. Hobs in 20114. Percentage Change in Jobs from 2006 to 20115. Average Earnings for 2011

CALCULATION OF LOCATION QUOTIENT

LQi = LEIi / TLE NEIi / TNE

Where:LEIj = Local Employment Industry iTLE = Total Local EmploymentNEIj = National Employment Industry iTNE = Total National Employment

EXAMPLE LQ CALCULATIONBOZO COUNTY: Agricultural Employment: 10 Total Employment: 100 Percent Ag of Total: 10% US: Agricultural Employment: 10,000 Total Employment: 1,000,000 Percent Ag of Total: 1% LOCATION QUOTIENT CALCULATION: LQ = 10%/1% LQ = 10

BUBBLE CHART AREAS

BUBBLE CHART ANALYSIS WITH SRDC DATA STARS –Star sectors are those whose ratio in WNDD is larger than that in the nation and whose

percentage change in employment from 2006 to 2011 is positive, Star sectors are specialized compared to the nation and during the past five (5) years their employment has been increasing.

MATURE- Mature sectors are those whose ratio of employment in WNDD is larger than that of the nation and whose percentage change in employment from 2006 to 2010 is negative. Mature sectors are still specialized compared to the nation but during the past five (5) years their employment has been decreasing.

EMERGING – Emerging sectors are those whose ratio in WNDD is less than that in the nation and whose percentage change in employment from 2006 to 2011 is positive, Emerging sectors are less specialized compared to the nation and during the past five (5) years their employment has been increasing. Some of the emerging sectors may become specialized in the future.

TRANSFORMING – Transforming sectors are those whose ratio of employment in the region is less than that in the nation and whose employment growth from 2006 to 2011 was negative. These clusters are less specialized in WNDD. The transforming clusters are unlikely to become specialized in the future.

CLUSTER RATINGCLUSTER CategoryBusiness & Financial STAR

AER MATURE

Energy STAR

Biomedical STAR

Transportation &Logistics STAR

Agricultural Business MATURE

Defense STAR

Advanced Materials TRANSFORMING

Mining EMERGING

IT Telecommunications TRANSFORMING

Printing TRANSFORMING

Fabricated Metal TRANSFORMING

Chemicals TRANSFORMING

Education EMERGING

Forest TRANSFORMING

Computer TRANSFORMING

Transportation Equipment TRANSFORMING

Primary Metal TRANSFORMING

Apparel TRANSFORMING

Machinery EMERGING

Glass TRANSFORMING

Electrical TRANSFORMING

RANKING OF WNDD CLUSTERS-SRDC

CLUSTERBusiness & FinancialEnergyTransportation & LogisticsAERBiomedicalAdvanced MaterialsMiningDefensePrimary MetalIT TelecommMachineryChemicalsAgricultural BusinessComputerFabricated MetalEducationGlassTransportation EquipmentPrintingElectricalForestApparel

DETAILED SECTOR BY SRDC CLUSTER Agricultural Business

o Alfalfa Hay o Milk Processing

Defense o Facilities Support Services (NAICS 5612) o Aerospace Product and Parts Manufacturing

AER o Traveler Accommodations o Gambling Industries

Business and Financial o Computer Systems Design and Related Services o Accounting, Tax Preparation, Bookkeeping, and Payroll

Energy o Other Electric Power Generation o Engineering Services

Group Exercise

• Which clusters should WNDD pursue and why?

• Which clusters should WNDD not pursue and why?

SIERRA PACIFIC MEGAPOLITAN