Session led by Ian Flatt of Camoin Associates at NYATEP 2015 (New York Association of Training & Employment Professionals) The newly implemented WIOA legislation requires workforce development boards, and their partners, develop "data-driven" strategies that support employers and workers - but where do you get the data to create these strategies? During this session, Ian presented a variety of FREE economic and labor market data sources. Understanding these topics as they related to your community and how it compares to regional, state, and national trends is essential to developing informed strategies to assist both job seekers and employers.

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Data, Data, Data!
Presented by Rob Camoin and Ian Flatt
How to use free data tools to create
workforce development strategies

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Workforce Analysis
Presentation Goals:
• Present variety of quality data sources
• Identify ways they can be used to support your work
Purpose of Workforce Analysis:
• Develop-data driven strategies
• Strategically deploy resources to most high need industries
and individuals

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Questions
•Do you use economic/workforce data?
•If yes, for what purpose? (advising clients, developing
strategies, etc.?)
•How could workforce and economic data support your
work?

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Workforce Analysis
Uses:
• Identify growth industries
• Identify growth occupations
• Direct clients to training for in-demand occupations with
strong wages
• Identify populations with barriers to employment
• Track progress to strategic goals

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Basic Guidelines
• Compare data to benchmarks – state, US, or other similar
communities or regions
• Track most recent data, trends over time, and projections
• Verify data with employers and ED partners
• Review regularly and make appropriate updates
• Keep an eye on current events and trends – could change
what the data is telling you

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Definitions
North American Industry Classification System (NAICS) Codes
• Standard used by Federal statistical agencies in classifying
business
Standard Occupational Classification (SOC) Codes
• System is used by Federal statistical agencies to classify
workers into occupational categories
• All workers are classified into one of 840 detailed
occupations according to their occupational definition

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Workforce Analysis Data Checklist
Largest industries
Fastest growing industries
Industry wages
Top occupations
Wages
Education requirements
Unemployment rates
Labor force participation
Age
Income
Education
“Disconnected Youth”
Veterans
Individuals with disabilities
Commuting patterns

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Industry Data

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US Cluster Mapping Project
• Product of Harvard Business School
and US Economic Development
Administration
• Provides in-depth information about
industry clusters
• Data about changes in employment,
unemployment rates, labor force
participation, and wages
• Can create custom regions (e.g.
multi-county WF regions)
http://www.clustermapping.us/

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US Cluster Mapping
Strengths:
• Easily download data
• Can create custom regions
• Variety of data
• Divides clusters between “Traded” and “Local”
Limitations:
• Not always clear what NAICS codes the clusters refer to
(check the definitions if not sure)

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Map a wide range
of variables
At the county, state,
economic area, or
MSA levels
Select date range
Create custom regions

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Charts summarizes
employment and
demographic data
More detailed
charts measuring
the economic
health of the region
Detailed
information about
employment in
industry clusters

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Learn about key
employment, wage,
and economic data
And more…

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Detailed Information
about Industry Clusters

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Average wages in
each cluster

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Detailed Information
about Sub Clusters

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US Cluster Mapping Project
• Using data available
from US Clusters
Mapping, we can easily
identify:
• The largest industries

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US Cluster Mapping Project
• Using data available
from US Clusters
Mapping, we can easily
identify:
• The largest industries
• Industries that added
the most jobs

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US Cluster Mapping Project
• Using data available
from US Clusters
Mapping, we can easily
identify:
• The largest industries
• Industries that added
the most jobs
• Fastest growing
industries

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• Track Changes in
Overall
Employment
US Cluster Mapping Project

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US Cluster Mapping Project
• Track Changes in
Overall Employment
• Track changes in
wages

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US Cluster Mapping:
Other Available Information
• Shift Share Analysis (industry competitiveness)
• Location Quotient (industry specialization)
• Compare region to other geographies
• Identify communities with similar employment trends – can
be good for future benchmarks
• Demographic information
• Definitions of clusters (i.e. the NAICS codes included)
provided

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Workforce Analysis Data Checklist
Largest industries
Fastest growing industries
Industry wages
Top occupations
Wages
Education requirements
Unemployment rates
Labor force participation
Age
Income
Education
“Disconnected Youth”
Veterans
Individuals with disabilities
Commuting patterns

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Industry &
Occupation Data

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NYS Department of Labor
• http://labor.ny.gov/stats/index.shtm
• Offers projected changes in employment for:
• Occupations
• Industries
• Provides data related to wages, etc.
• Provides labor force and unemployment data by county,
LWIA, and region

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Employment and wages
by occupation – available
for regions only
Employment and wages by
industry (past and current) –
available at county, LWIA,
MSA, and regional levels
Projections available
statewide and for regions

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Industry Data
Strengths:
• Current and historic data
• Provided for state, regions, LWIA, and counties
• Average wages assessed

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Industry Data
Limitations:
• Data provide at 3 level NAICS code – not specific
• Industry employment projections provided for state and
regions ONLY

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Occupation Data
• Shows detailed occupations
• Breaks out employment demand between new and
replacement demand
• Detailed wage information
• Skill requirements and typical education requirements
• Categorizes occupations by future employment prospects
based on growth rates and number of openings
• Available for state and regions ONLY

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Labor force size, unemployment rates
and numbers available by state,
region, LWIA, MSA, and county

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Labor force peaked
in 2010 at 179,400
Currently around 166,100 – a
decrease of 13,000 from peak

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Workforce Analysis Data Checklist
Largest industries
Fastest growing industries
Industry wages
Top occupations
Wages
Education requirements
Unemployment rates
Labor force participation
Age
Income
Education
“Disconnected Youth”
Veterans
Individuals with disabilities
Commuting patterns

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Demographic Data

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American Community Survey
• Socioeconomic and demographic data – past and current
• Age
• Education
• Income
• Veteran status
• Number of individuals with disabilities
http://factfinder.census.gov/faces/nav/jsf/pages/index.xhtml

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Search for community name

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Easily find data on:
age, sex, income,
education, housing
costs, languages
spoken, and
veterans

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Can’t find the
information you’re
looking for? Try
“Advanced Search”
Browse topics you
are interested in

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Veteran Employment
• Nearly 9% unemployment rate
• Nearly 7% live in poverty
Labor Force Participation 75.3%
Unemployment Rate 8.7%
Poverty Rate 6.9%
Veterans - ACS 2009-2013 Survey

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Individuals with a Disability
• In the US, individuals with disabilities account for about 11% of
unemployed and over 25% of people not in the labor force
• Only account for 5% of employed individuals
% of People
with Disabilities
% of Total
Population
Employed 33% 5%
Unemployed 8% 11%
Not in Labor Force 59% 26%
People with Disabilities

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Workforce Analysis Data Checklist
Largest industries
Fastest growing industries
Industry wages
Top occupations
Wages
Education requirements
Unemployment rates
Labor force participation
Age
Income
Education
“Disconnected Youth”
Veterans
Individuals with disabilities
Commuting patterns

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Other
Demographic Data

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Opportunity Index
• Ranks communities based on income, education, health
indicators, availability of doctors, and a variety of other
factors
http://opportunityindex.org/
Strengths:
• Available by county and state
• Easily see how county compares
• Regularly updated
• Easy to view snapshot or data dashboard

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Opportunity Index
• Ranks communities based on income, education, health
indicators, availability of doctors, and a variety of other
factors
Limitations:
• Difficult to download (approve requests to download data
on a case-by-case basis)
• Cannot make custom regions

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Counties with
high scores are
in dark blue

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Select to map a
variety of variables

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• “Report Card” Style
Format
• Breakdown and
comparison to state
and US
• Detailed economic,
education, and
demographic data

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• See how data
has changed
over time
• Detailed
education and
demographic
info
• One of the only
sources for
“disconnected”
or “idle youth”

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The unemployment rate
in this county has
decreased since 2011,
however the median
income has remained
stagnant and the poverty
rate has increased
The % of households
spending more than 30%
of income on housing
costs has increased –
could indicate a growing
need for workforce
housing
See how data has
changed over time

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Workforce Analysis Data Checklist
Largest industries
Fastest growing industries
Industry wages
Top occupations
Wages
Education requirements
Unemployment rates
Labor force participation
Age
Income
Education
“Disconnected Youth”
Veterans
Individuals with disabilities
Commuting patterns

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Commuting Data

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On The Map
• Provides information about commuting patterns
• Reveals the kinds of jobs workers commute to or from an
area for
• Answer questions:
• Do employers need to recruit from outside of the area
for fill jobs?
• Do workers need to leave your area to find suitable jobs?
http://onthemap.ces.census.gov/

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On The Map
• Is your area a labor
importer or exporter?
• Saratoga exports about
24,000 more workers than
it imports
• About 36,000 workers live
and work in Saratoga
County

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On The Map
• Most Saratoga residents commute
to Albany for work
• After Albany, about 11% are
employed in the City of Saratoga
Springs

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On The Map
• Most Saratoga residents are
employed in Saratoga Springs
• Residents of Schenectady, Troy,
and Glens Falls commute to
Saratoga for work

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Workforce Analysis Data Checklist
Largest industries
Fastest growing industries
Industry wages
Top occupations
Wages
Education requirements
Unemployment rates
Labor force participation
Age
Income
Education
“Disconnected Youth”
Veterans
Individuals with disabilities
Commuting patterns

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Other Resources
• Cornell Cooperative Extension: Demographic information
and county profiles
• Detailed Migration Data: University of Wisconsin
• U.S. HUD: free data on all things housing
• MIT Living Wage Calculator: find out what the living wage is
in your community
• EMSI: proprietary source for economic and workforce data
(not free)

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Thank you!
• Give Rob or Ian your business card to receive the
PowerPoint by email!
• You can also find it on our blog
Questions?