SET Overview and
Exploration of
Regional Data
Session 1
The SET Process
You are here
Today, We Will
• Review the Regional SET Forum
• Explore the regional economic
data:
• Regional industry clusters
• Employment and occupation
• Chart the next steps
SET Purpose: Doing Better Together
The regional team
develops and implements a
High Quality Regional
Economic Development Plan
that builds on the region’s current
and emerging economic strengths.
High Quality Plan: Essential Components
Evidence-Based
Aligned with
Goals
Practical
Team’s
Regional
Plan
Focused on
Regional
Economic
Development
Broadly
Supported
Guiding Principles for Our Discussions
Sample ideas:
• Enter into the discussion enthusiastically.
• Give freely of your experience.
• Allow and encourage others to contribute.
• Listen attentively and take accurate notes.
• Ask questions when you don’t understand.
• Appreciate the other person’s point of view.
• Provide constructive feedback and receive it willingly.
• Keep confidences and assume others will.
• Confine your discussion to the topic.
Round I: Forum Review
Civic Engagement Forum Review
• Regional Strengths & Challenges
• Data Snapshot Reactions
• Opportunities
Round II: Economic Data
Data Scavenger Hunt: Thriving Businesses
• Number of employees
• Workforce skills needed
• Type of business (i.e.
manufacturing, retail, health
services)
• Average earnings
• County
• Size
• Large=over 100 employees
• Small= under 100
• Other businesses/industries for
which it is providing support
Getting the Big Picture in Mind
• What are the region’s largest
businesses and industries?
• What goods and services to they
purchase?
• Are these products/services
available within the region?
• What other businesses connect
to each of these larger ones?
Round III: Explain, Examine, and Explore
COACHES: Insert regional data
in place of sample tables
throughout this section
Industry & Occupation
Industry and occupation
Establishments
An establishment is a
physical business location.
Components of Change for Establishments
2000-2013
Establishments Launched
11,395
Establishments Closed
9,475
Net Change
1,920
Net Migration
(Establishments moving into
minus Establishments moving out
of the region)
110
Total Change
2,030
Percent Change
39.3%
Branches, standalones
and headquarters are all
considered types of
establishments.
Definition of Company Stages
0
2
Selfemployed
10-99
employees
4
1
3
2-9
employees
100-499
employees
500+
employees
section 02
* The difference in “total change” between year-by-year and year-to-year is because of the residuals.
Source: Youreconomy.org database
14
Industry and occupation
Establishments
Number of Establishments by Company Stages
2000
Stage
Establishments
2013
Proportion
Establishments
Proportion
Stage 0
1,396
27.0%
1,942
26.9%
Stage 1
2,986
57.8%
4,399
60.9%
Stage 2
719
13.9%
822
11.4%
Stage 3
55
1.1%
57
0.8%
Stage 4
7
0.1%
4
0.1%
5,163
100.00%
7,224
100.00%
Total
Questions:
•
What stage businesses have shaped the region’s economic growth in the last 10 years?
•
Which ones are growing or declining the most?
•
Which stage of establishments are likely to shape the region’s future economic growth?
section 02
Source: Youreconomy.org database 15
Industry and occupation
Establishments
Number of Jobs by Company Stages
Year
2000
Questions
2013
% Change
• What establishments are the
most numerous based on
company stages?
Stage 0
Stage 1
Stage 2
Stage 3
Stage 4
1,396
10,376
18,387
9,326
4,695
1,942
13,586
22,427
10,038
3,380
39.1%
30.9%
22.0%
7.6%
-28.0%
Total
44,180
51,373
16.3%
• What company stage employs
the largest number of people?
% Change
• What stage captures the most
sales?
Sales ($ 2013) by Company Stages
Year
2000
2013
Stage 0
$160,094,654
$129,728,731
-19%
Stage 1
$1,538,525,539
$896,863,710
-41.7%
Stage 2
$1,860,277,679
$1,618,057,361
-13.0%
Stage 3
$883,353,578
$933,867,601
5.7%
Stage 4
$573,792,680
$236,475,100
-58.8%
$ 5,016,044,130
$3,814,992,503
-23.9%
Total
• What stages have experienced
the largest growth? The greatest
decline?
• Which ones have experienced
the greatest percentage loss
over the 2000-13 period?
section 02
Source: Youreconomy.org database 16
Industry and occupation
Top nine industry sector employment growth
NAICS
Description
2009 Jobs
2014 Jobs
Change
Change (%)
State
Change (%)
21
Mining, Quarrying, and Oil and Gas Extraction
185
326
141
76%
50%
61
Educational Services
351
514
163
46%
11%
53
Real Estate and Rental and Leasing
1,619
1,898
279
17%
6%
44
Retail Trade
6,068
6,545
477
8%
4%
52
Finance and Insurance
2,299
2,458
159
7%
5%
62
Health Care and Social Assistance
5,506
5,789
283
5%
5%
54
Professional, Scientific, and Technical Services
1,497
1,535
38
3%
4%
81
Other Services (except Public Administration)
3,318
3,388
70
2%
4%
42
Wholesale Trade
979
986
7
1%
11%
Questions:
• What regional industry sectors have seen the greatest growth?
• Did they grow at the same rate as the state?
• What factors are causing the growth?
section 02
Source: EMSI Class of Worker 2015.4 (QCEW, non-QCEW, self-employed and extended proprietors)
17
Industry and occupation
Top ten industry sector employment decline
NAICS
Description
2009 Jobs
55
Management of Companies and Enterprises
31
2014 Jobs
Change
Change (%)
State
Change (%)
427
237
-190
-44%
35%
Manufacturing
3,184
2,577
-607
-19%
8%
71
Arts, Entertainment, and Recreation
1,073
928
-145
-14%
9%
48
Transportation and Warehousing
1,221
1,096
-125
-10%
6%
23
Construction
4,095
3,829
-266
-6%
4%
56
Administrative and Support and Waste
Management and Remediation Services
2,034
1,942
-92
-5%
9%
11
Crop and Animal Production
6,632
6,343
-289
-4%
-3%
22
Utilities
205
197
-8
-4%
4%
90
Government
16,909
16,336
-573
-3%
-2%
72
Accommodation and Food Services
3,560
3,531
-29
-1%
11%
Questions:
• How does the industry sector make-up of the region compare to the rest of the state?
• Which industry sectors are growing and declining the most in employment?
section 02
Source: EMSI Class of Worker 2015.4 (QCEW, non-QCEW, self-employed and extended proprietors)
18
Exploring Industry Clusters
Industrial Clusters
Clusters are groups of inter-related industries that drive wealth
creation in a region, primarily through export of goods and services.
Vertical Clusters
Horizontal Clusters
• Represents the entire value chain
of a broadly defined industry
from suppliers to end products.
• Groups of similar industries that use
the same resources including raw
materials and/or labor
• Examples:
• Examples:
• Auto manufacturing (glass, paint,
engine, plastic, etc. that goes into
making a car)
• Healthcare (service providers,
equipment, medical supplies,
pharmaceuticals)
• Silicon Valley
• Wall Street Financial District
• Napa Valley Wine Region
Example of a Vertical Cluster
Example of a Horizontal Cluster
LIST OF CLUSTERS
• Advanced Materials
• Agribusiness, Food Processing &
Technology
• Apparel & Textiles
• Arts, Entertainment, Recreation &
Visitor Industries
• Biomedical/Biotechnical (Life Sciences)
• Business & Financial Services
• Chemicals
• Computer & Electronic Product
Manufacturing
• Defense & Security
• Education & Knowledge Creation
• Electrical Equip, Appliance &
Component Manufacturing
• Fabricated Metal Product
Manufacturing
• Energy (Fossil & Renewable)
• Forest & Wood Products
• Glass & Ceramics
• Information Technology &
Telecommunications
• Machinery Manufacturing
• Manufacturing Super-cluster
• Mining
• Primary Metal Manufacturing
• Printing & Publishing
• Transportation & Logistics
• Transportation Equipment
Manufacturing
How to interpret cluster data results
Contains clusters that are more
concentrated in the region but
are declining (negative growth).
These were likely the anchor
industries for the region in the past.
Mature
(strong but
declining)
Transforming
Contains clusters that are
under-represented in the
(weak and
region (low concentration)
declining)
and are also losing jobs.
Clusters in this region may
indicate a gap in the workforce
pipeline if local industries anticipate
a future need. In general, clusters in this
quadrant show a lack of competitiveness.
Contains clusters that are more
concentrated in the region and are
growing. These clusters are
strengths that help a community
stand out from the competition.
Small, high-growth clusters
(strong and
can be expected to become
more dominant over time.
advancing)
Stars
Emerging
(weak but
advancing)
Contains clusters that are
under-represented in the
region but are growing, often
quickly. If growth trends
continue, these clusters will
eventually turn into stars.
Modified from: http://www.charlestonregionaldata.com/bubble-chart-explanation/
24
Industry cluster analysis
Star Clusters
Mature Clusters
Electrical Equip, App. & Comp. Mfg. (442)
Level of Specialization
Agribusiness, Food Proc., & Tech. (6,913)
Mining (236)
Glass & Ceramics (108)
Forest & Wood Products (949)
Percent Growth in Specialization
Transforming Clusters
Emerging Clusters
Energy (Fossil And Renewable) (2,840)
Fabricated Metal Product Mfg. (435)
Arts, Ent., Rec, & Visitor Industries (1,487)
Biomedical/Biotech (3,776)
Transportation & Logistics (1,082)
Business & Financial Services (3,857)
Manufacturing Supercluster (1,148)
Printing & Publishing (383)
Machinery Mfg. (194)
Apparel And Textiles (156)
Defense & Security (984)
Advanced Materials (507)
Chemicals (273)
Edu. & Knowledge Creation (399)
IT & Telecommunication (821)
Primary Metal Mfg. (30)
Transportation Equipment Mfg. (39)
Computer & Electronic Product Mfg. (7)
section 03
NOTE: The first number after each cluster represents the number of total jobs (full and part time jobs by place of work) in that cluster in the region in 2014. The clusters are
sorted in decreasing order by location quotient as shown in the bubble chart.
25
Forest and Wood Products: Contribution by Counties (Jobs 2014)
section 03
Source: EMSI 2015.4 (QCEW Employees, Non-QCEW Employees, Self-Employed, and Extended Proprietors); Industry cluster definitions by PCRD 26
Glass and Ceramics: Contribution by Counties (Jobs 2014)
section 03
Source: EMSI 2015.4 (QCEW Employees, Non-QCEW Employees, Self-Employed, and Extended Proprietors); Industry cluster definitions by PCRD 27
Mining: Contribution by Counties (Jobs 2014)
section 03
28
Source: EMSI 2015.4 (QCEW Employees, Non-QCEW Employees, Self-Employed, and Extended Proprietors); Industry cluster definitions by PCRD
Industry Clusters: Components to Assess
Electrical
Equipment
Mining
Forest & Wood
Products
Glass & Ceramics
-32
(negative
value)
50
(61% of job
change)
122
(110% of job
change)
36
(90% of job
change)
Export value, 2013
$87,709,304
$52,330,425
$44,996,070
$11,767,446
Leakage, 2013
$22,103,619
$27,203,369
$95,882,681
$9,023,274
Number of
establishments
1
7
32
7
Only in 1
county
All 4 counties
All 4 counties
All 4 counties
Regional Performance,
2009-2014
(Shift-share analysis)
Contribution by
counties
Business input
Seek input from businesses
Resident’s value
Review Civic Forum Input from Residents
section 02
Source: EMSI 2015.4 (QCEW Employees, Non-QCEW Employees, Self-Employed, and Extended Proprietors); Industry cluster definitions by PCRD
29
Exploring Occupations
Industry and occupation
Top five occupations in 2014
Questions:
• What are the education
and skill requirements for
these occupations?
• Do the emerging and star
clusters align with the top
occupations?
• What type salaries do
these occupations
typically provide?
section 04
Source: EMSI Class of Worker 2015.4 (QCEW, non-QCEW, self-employed and extended proprietors)
31
Industry and occupation
Science, Technology, Engineering & Math
Job change in STEM
occupations*
67,592
61,527
869
CBR, OK
Rest of
Oklahoma
9.9%
770
-11.4%
2009
2014
Change
Questions:
• How do STEM jobs compare to the state?
• What has been the trend of STEM jobs over time?
• How important are STEM jobs to the region’s Star and Emerging clusters?
section 04
*Note: STEM and STEM-related occupation definitions from BLS (2010)
Source: EMSI Class of Worker 2015.4 (QCEW, non-QCEW, self-employed and extended proprietors)
32
Workforce Data
• What are the region’s
unemployment
trends?
• Are more people
commuting into the
region or commuting
out?
• How do regional
earnings compare to
the state or nation?
Honing in on Key Clusters
Based on the
assets of the
region and
current
industrial
trends…
What clusters
should this
region explore
further?
Shift-Share
Analysis
Export
Value
Resident’s
Values
Industry
Input
Contribution
by Counties
Key
Clusters
Leakage
Number of
Establishments
Reality Check and Next Steps
Did the data reveal:
• Any new opportunities
that should be
considered?
• The need to eliminate
previously considered
opportunities?
• New partners that need
to be included in the
planning process.
Actions: Begin Writing the Plan
• Describe and summarize the Civic
Engagement Forum process and
results.
• Summarize key strengths and
challenges based on the data
• Describe the selected clusters:
• Why were these clusters selected for
further exploration?
• What are the strengths and challenges
associated with the selected clusters?
• Which suggested opportunities are
associated with each selected cluster?
Reflections