Strategic Doing Practitioner's Conference | May 2016Ed Morrison
Strategic Doing has caught fire. An agile approach to building collaborations quickly, Strategic Doing now has practitioners in a wide variety of fields from urban regeneration and engineering education to workforce development and corporate innovation.
Take part in three days of engaged learning with a growing network of Strategic Doing practitioners.
At this gathering you will deepen your skills at designing and guiding complex collaborations and learn emerging practices for taking on “wicked” problems. You will take away new insights about how, by following simple rules, you can develop strategies in open, loosely connected networks. The cost of the conference is $375
Strengthening University Innovation EcosystemsEd Morrison
Purdue and Fraunhofer IAO are partnering to bring a new set of tools for technology and innovation management to the New Jersey Institute of Technology (NJIT). This work is taking place in the context of a broader challenge: How do we strengthen the innovation ecosystem surrounding U.S. universities by following Fraunhofer principles?
This slide deck provides an overview of our team's work to strengthen NJIT's innovation ecosystem through its new Innovation Institute.
MarketShift Lockheed Martin Workshop on Condition Based MaintenanceEd Morrison
These slides introduced an agile strategy workshop in which we began to design an innovating network of companies to move the Navy further along in the adoption of Condition Based Maintenance.
Pathways to Innovation | September 2015Ed Morrison
Pathways to Innovation represents a transformative initiative funded by National Science Foundation, led by Stanford University and managed by VentureWell.
Using the agile strategy discipline of Strategic Doing, the initiative has engaged 37 universities (soon to be 51 universities) in redesigning the undergraduate experiences in engineering. The university teams are learning how to build and guide complex collaborations needed to transform the curriculum, add new certifications, and develop new maker spaces among other things.
To learn more, contact Peggy Hosea at Purdue: phosea@purdue.edu
The DC Development Report is a summary of the major development and construction projects in the District of Columbia. The Washington, DC Economic Partnership (WDCEP) began tracking development activity in 2001 with the hope of creating a comprehensive database that would answer a number of questions in regards to the construction activity in the city. The Report summarizes our entire database of projects, highlights major projects and what lies ahead for development in the District of Columbia.
This update of the DC Development Report is an overview of development activity and of the expansion occurring in DC. As a resource book, it is a compilation of nearly 14 years of data collection and research that provides an overview of an ever-changing development and construction cycle.
The WDCEP performs an annual “development census” in the month of September and receives contributions from more than 100 developers, architects, contractors and economic development organizations. This outreach results in updates to more than 350 projects. While our database of projects is constantly being updated, for the purposes of this publication all data reflects project status, design and information as of September 2014.
In 2014 the WDCEP partnered with CBRE to provide an economic overview of DC and in-depth analysis of the office, retail and residential markets. Although every attempt was made to ensure the quality of the information contained in this document, the WDCEP and CBRE makes no warranty or guarantee as to its accuracy, completeness or usefulness for any given purpose.
An overview of recent population trends in Illinois, its origins and potential implication. This research was compiled by Northern Illinois University researcher Brian Harger.
A brief presentation of recent population trends in Illinois from 2010 to 2017 along with related commentary. This is part of an ongoing series of presentations on topics relevant to Illinois and the U.S. midwest.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
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Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
4. 4
Purpose
This document provides information
and data about Lake County that
can be used to guide local decision-
making activities.
The Data SnapShot showcases a variety
of demographic, economic and labor
market information that local leaders,
community organizations and others can
use to gain a better perspective on
current conditions and opportunities in
their county.
To strengthen the value and usability of
the information, we showcase the data
using a variety of visual tools, such as
charts, graphs and tables. In addition, we
offer key points about the data as a way
of assisting the user with the interpretation
of the information presented.
Finally, short takeaway messages are
offered at the end of each section in order
to highlight some of the more salient
findings.
Introduction
section 01
5. 5
About Lake County
Introduction
section 01
County Background
Established 1837
County
Seat
Crown Point
Area 627 sq. mi.
Neighboring
Counties
Jasper, IN
Newton, IN
Porter, IN
Cook, IL
Kankakee, IL
Will, IL
7. 7
Population change
Components of Population Change, 2000-
2012
Total Change 5,572
Natural Increase 26,367
International Migration 4,436
Domestic Migration -22,404
The total population is
projected to increase
by 3 percent between
2012 and 2020.
Demography
Sources: STATSIndiana, U.S. Census Bureau – 2000 Decennial Census, 2010 Decennial Census, 2012 Estimates, Estimates of the Components of Resident
Population Change
section 02
The total population increased by 2 percent between
2000 and 2012. The major contributor to that expansion
was natural increase (births minus deaths over that span
of time) with a net growth of nearly 26,000 persons.
Data on domestic migration (the difference between the
number of people moving out of the county versus
moving in) shows that out-migration outpaced in-
migration by nearly 22,000 people. On the other hand,
international migration had a net increase of over 4,400,
indicating that the county experienced an influx of new
people from outside the U.S.
484,564
496,005 493,618
507,724
2020201220102000
Total population
projections
8. 8
6.6%
7.0%
6.2%
6.5%
6.7%
7.6%
5.3%
3.2%
2.5%
6.9%
7.3%
6.1%
6.1%
6.3%
7.1%
4.8%
2.4%
1.4%
9 6 3 0 3 6 9
0-9
10-19
20-29
30-39
40-49
50-59
60-69
70-79
80+
Percent of the PopulationAgeCohort
Population pyramids
Population pyramids are visual representations of the age distribution of the population by
gender.
While the male to female ratio of the population did not
change dramatically between 2000 and 2012, the
distribution of people across the various age categories did
change over the two periods of time.
Demography
Source: U.S. Census Bureau – 2000 Decennial Census and 2012 Annual Population Estimates
section 02
The percent of people under 50 years old has decreased for
both males and females over the 2000 to 2012 period.Also,
the number of 50 and over now stands at nearly 169,000
people (about 34 percent of the population, up from 28
percent in 2000).
Male Female
2012
7.2%
7.3%
6.5%
7.2%
8.0%
5.8%
4.1%
3.6%
2.1%
7.5%
7.7%
6.2%
6.7%
7.5%
5.4%
3.5%
2.6%
1.1%
9 6 3 0 3 6 9
00-09
10-19
20-29
30-39
40-49
50-59
60-69
70-79
80+
Percent of the Population
AgeCohort
2000
Male Female
9. 9
Race
The number of non-White
residents in Lake County
increased by 5 percentage
points between 2000 and 2012.
While every race other thanWhite
experienced a numerical increase,
the population of Asian, Other and
Mixed Descent races gained the
most people, expanding from 33
percent to 38 percent of the total
population between 2000 and 2012.
Demography
Race Data Source: U.S. Census Bureau – 2000 Decennial Census and 2012 ACS
section 02
White
67%
Oth…
2000
Black
Asian
Native
Other
Mixed
White
62%
Other
38%
2012
Black
Asian
Native
Other
Mixed
10. 10
Ethnicity
Hispanics are individuals of any
race whose ancestry is from
Mexico, Puerto Rico, Cuba,
Spain, the Dominican Republic
or any other Spanish-speaking
Central or South American
country.
There were 59,128 residing in Lake
County in 2000.This figure
expanded to 82,652 by 2012, a 39.7
percent increase.
As a result, Hispanics now make up
17 percent of the overall population
(versus 12 percent in 2000).
Demography
Source: U.S. Census Bureau – 2000 Decennial Census and 2012 ACS
section 02
17%
12%
Hispanics - 2000
Hispanics - 2012
11. 11
Educational attainment
Demography
Source: U.S. Census Bureau – 2000 Decennial Census and 2012 ACS
section 02
No High
School
14%
High
School
36%
Some
College
32%
College
18%
2012
No High
School
20%
High
School
37%
Some
College
28%
College
15%
2000Educational attainment for adults 18
years of age and older in Lake County is
increasing.
The proportion of adults (18 years of age
and older) with a high school education or
more improved from 80 percent in 2000 to
86 percent by 2012.
The percentage with less than a high
school education fell by 6 percent
between 2000 and 2012 (from 20 percent
to 14 percent). On the other hand, those
with some college education grew from 28
percent to 32 percent.
The number of adults with a bachelor’s
degree or more was18 percent in 2012, a
slight increase compared to 2000.
12. 12
Takeaways
The population of Lake County is expected to
grow modestly over the next few years, and if
past trends hold, that increase will be largely due
to natural increase (more births than deaths).
While Lake County’s population has been
growing over the 2000 to 2012 period, it has also
been aging. In addition, its population has
declined by nearly 22,000 people due to domestic
out-migration, suggesting that young individuals
and those of prime working age (20-39 years of
age) are moving out of the county at a faster pace
than they are moving in.
The educational level of the population has
increased and the county has become more diverse
by race and ethnicity since 2000.
In order to achieve a balanced ratio of
working-age individuals and dependents
(minors and elderly), Lake County should
explore what mix of services and amenities
will retain and attract educated young adults.
Demography
section 02
14. 14
Establishments
Components of Change for Establishments
Total Change (2000-11) 16,143
Natural Change (births minus
deaths)
15,755
Net Migration 388
The number of establishments in Lake
County doubled between 2000 and 2011.
The rapid growth of establishments was largely due
to natural change.That is, 35,600 establishments
were launched in the county between 2000 and
2011, while 19,800 closed, resulting in a gain of
15,755 establishments.
Economy
Source: National Establishment Time Series (NETS) – 2011 Database
section 03
An establishment is a
physical business location.
Branches, standalones and
headquarters are all
considered types of
establishments.
Definition of Company
Stages
0 1
2 3
4
Self-
employed
2-9
employees
10-99
employees
100-499
employees
500+
employees
15. 15
Number of establishments by
stage/employment category
Economy
Source: National Establishment Time Series (NETS) – 2011 Database
section 03
2000 2011
Stage Establishments Proportion Establishments Proportion
Stage 0 3,256 20% 10,058 30%
Stage 1 9,314 57% 18,911 58%
Stage 2 3,501 21% 3,260 10%
Stage 3 257 1% 256 1%
Stage 4 46 1% 32 1%
Total 16,374 100% 32,517 100%
16. 16
Number of jobs by stage/employment
category
Economy
Source: National Establishment Time Series (NETS) – 2011 Database
section 03
2000 2011
Stage Jobs Proportion Jobs Proportion
Stage 0 3,256 1% 10,058 4%
Stage 1 35,916 16% 56,994 25%
Stage 2 87,716 39% 82,048 36%
Stage 3 43,486 19% 42,370 19%
Stage 4 56,055 25% 36,882 16%
Total 226,429 100% 228,352 100%
18. 18
Top five industries in 2012
55.6 percent of jobs are tied to
one of the top five industries in
Lake County
Health Care & Social Assistance is the
largest industry sector (34,824 jobs).
Accommodation and Food Services is
the smallest of the top industry sectors
with 18,124 jobs.
Economy
Source: Economic Modeling Specialists International (EMSI) – Complete Employment
section 03
Health Care & Social
Assistance
14.4%
Government
11.9%
Retail Trade
11.3%
Manufacturing
10.5%
Accommodation
& Food Services…
All Other Industries
44.4%
19. 19
Industry distribution and change
NAICS Code Description Jobs 2012 % Change (2002-2012) Earnings 2013
11 Agriculture, Forestry, Fishing and Hunting 639 -10.9% $18,551
21 Mining, Quarrying and Oil and Gas Extraction 176 -27.9% $107,293
22 Utilities 1,730 1.7% $126,479
23 Construction 17,788 25.1% $85,919
31-33 Manufacturing 25,290 -11.7% $107,534
42 Wholesale Trade 6,076 -13.3% $66,946
44-45 Retail Trade 27,407 -4.9% $26,118
48-49 Transportation and Warehousing 10,842 20.7% $53,948
51 Information 1,935 -23.3% $43,244
52 Finance and Insurance 7,201 3.1% $42,461
53 Real Estate and Rental and Leasing 8,339 23.7% $23,385
54 Professional, Scientific and Technical Services 8,829 4.4% $46,116
55 Management of Companies and Enterprises 1,793 36.8% $99,665
56 Administrative and Waste Management 11,827 1.0% $27,577
61 Educational Services (Private) 4,541 56.9% $26,907
62 Health Care and Social Assistance 34,824 20.1% $48,699
71 Arts, Entertainment and Recreation 7,652 -17.1% $28,730
72 Accommodation and Food Services 18,134 17.4% $15,376
81 Other Services (except Public Administration) 18,049 25.9% $20,526
90 Government 28,830 -3.7% $48,730
99 Unclassified Industry <10 - $54,835
All Total 241,901 - $48,711
Economy
Source: Economic Modeling Specialists International (EMSI) – 2013.2 Complete Employment
section 03
20. 20
Industry distribution and change
The largest employment gains in
Lake County occurred in:
Private Educational Services (+56.9
percent)
Management of Companies and
Enterprises (+36.8 percent)
The largest employment losses
occurred in:
Mining,Quarrying and Oil andGas
Extraction (-27.9 percent)
Information (-23.3 percent)
Economy
Source: Economic Modeling Specialists International (EMSI) – 2013.2 Complete Employment
section 03
Employment Increase Employment Decrease
Changes in the top five industry sectors
(2002-2012):
HealthCare & Social
Assistance
Accommodation &
Food Services
Government
RetailTrade
Manufacturing
21. 21
Office &
Administrative
Support…
Sales & Related
12%
Food Preparation
& Serving…
Transportation &
Material Moving
7%
Production
7%
All Other Occupations
53%
Top five occupations in 2012
The top five occupations in
Lake County represent 47.3
percent of all jobs.
Office andAdministrative Support and
Sales and Related are the occupations
with the largest number of workers.
Production occupations is the smallest of
the top five occupations in the county (7
percent of jobs).
Economy
Source: Economic Modeling Specialists International (EMSI) – 2013.2 Complete Employment
section 03
22. 22
SOC Description Jobs 2012 % Change (2002-2012) Hourly Earnings 2013
11 Management 10,733 7.4% $33.50
13 Business and Financial Operations 7,811 12.3% $26.86
15 Computer and Mathematical 1,903 -2.0% $28.88
17 Architecture and Engineering 2,882 -3.4% $35.56
19 Life, Physical and Social Science 1,440 16.7% $28.99
21 Community and Social Service 3,070 9.1% $19.00
23 Legal 1,730 1.9% $45.03
25 Education, Training and Library 12,273 11.0% $20.72
27 Arts, Design, Entertainment, Sports and Media 4,752 7.3% $14.79
29 Health Care Practitioners and Technical 14,845 12.4% $32.61
31 Health Care Support 7,494 25.0% $12.47
33 Protective Service 5,396 -8.8% $17.47
35 Food Preparation and Serving Related 19,388 9.6% $9.68
37 Building and Grounds Cleaning Maintenance 8,978 11.4% $11.18
39 Personal Care and Service 15,346 42.0% $10.15
41 Sales and Related 30,286 -0.6% $14.22
43 Office and Administrative Support 30,468 -4.8% $15.13
45 Farming, Fishing and Forestry 224 -10.4% $11.51
47 Construction and Extraction 14,682 18.1% $25.89
49 Installation, Maintenance and Repair 11,186 3.1% $22.67
51 Production 15,967 -8.9% $20.78
53 Transportation and Material Moving 18,194 1.0% $18.01
55 Military 1,672 4.1% $19.39
99 Unclassified 1,181 25.5% $11.18
All Total 241,901 100% $18.91
Occupation distribution and change
Economy
Source: Economic Modeling Specialists International (EMSI) – 2013.2 Complete Employment
section 03
23. 23
Occupation distribution and change
Economy
Source: Economic Modeling Specialists International (EMSI) – 2013.2 Complete Employment
section 03
The largest percentage gains in
jobs in Lake County occurred in:
Personal Care & Service (+42.0
percent)
Health Care Support (+25.0 percent)
The largest percentage loss in
employment occurred in:
Farming, Fishing & Forestry (-10.4
percent)
Production (-8.9 percent)
Changes in the top five occupations (2002-
2012):
Food Preparation
& Serving
Transportation &
Material Moving
Sales & Related
Office &
Administrative
Production
Employment Increase Employment Decrease
24. 24
Income and poverty
2000 2006 2012
Total Population in
Poverty
11.1% 16.7% 19.6%
Minors (up to age 17) in
Poverty
15.6% 26.5% 31.3%
Real Median Income
(2012)
$53,734 $52,327 $48,015
The median income in Lake
County dipped by $5,700
between 2000 and 2012.
Both the total population in
poverty and the number of minors
in poverty increased.
The number of minors in poverty
doubled between 2000 and 2012.
Economy
Source: U.S. Census Bureau – Small Area Income and Poverty Estimates (SAIPE)
section 03
25. 25
Income and poverty
Median income in Lake County has decreased in recent years, while poverty has continued to
increase.
Economy
Source: U.S. Census Bureau – Small Area Income and Poverty Estimates (SAIPE)
section 03
0
5
10
15
20
25
30
35
25,000
30,000
35,000
40,000
45,000
50,000
55,000
60,000
PopulationinPoverty(percent)
RealMedianIncomein2012(dollars)
Median Income
Minors in Poverty
All Ages in
Poverty
26. 26
Takeaways
All establishment growth in Lake County
occurred in businesses having fewer than
10 employees. So, focusing on the needs of
the self-employed (Stage 0) and start-ups
(Stage 1) establishments may be
worthwhile.
The food industry, health care, management,
education and transportation are employment
growth areas for Lake County.These are
industries and occupations that demand workers
with varying educational levels.
Median income has decreased and poverty has
increased in Lake County since 2000.
Lake County might focus on policies and programs
that strengthen high-growth Stage 2 firms since
they employ several people and capture sizable
sales.
Promoting job growth for occupations requiring
educated workers could help retain adults with
higher educational attainment and help increase
median income.
Services targeted to poverty-stricken individuals
should be considered given the dramatic rise in
poverty, especially among children under 18 years
old.
Economy
section 03
28. 28
Labor force and unemployment
2002 2012
Labor Force 227,989 220,793
Unemployment
Rate
6.4% 9.2%
The labor force in Lake County
decreased by 3.1 percent between
2002 and 2012.
This decrease is likely due to a rise in the
number of individuals who are either
officially unemployed or who have given
up looking for a job.
Labor market
Source: U.S. Bureau of Labor Statistics – Local Area Unemployment Statistics
section 04
29. 29
Unemployment rate
Between 2002 and 2012, the unemployment rate in Lake County peaked at 10.9 percent in
2010.
Labor market
Source: U.S. Bureau of Labor Statistics – Local Area Unemployment Statistics
section 04
3.6%
6.4%
5.2%
10.9%
9.2%
0.0
2.0
4.0
6.0
8.0
10.0
12.0
UnemploymentRate(%)
Year
30. 30
Commuteshed
A county’s commuteshed is the
geographic area to which its
work force travels to work.
Forty-one percent of employed
residents in Lake County commute
to jobs located outside of Lake
County.
The top commuteshed counties for
Lake County residents who work
outside of the county are Cook
County, Illinois, and Porter County,
Indiana.
Labor market
Source: U.S. Census Bureau – Longitudinal Employer-Household Dynamics (LEHD)
section 04
83,806
Out-Commuters
120,585
Same Work/
Home
Commuters Proportion
Cook, IL 39,960 19.6%
Porter, IN 11,061 5.4%
Marion, IN 5,295 2.6%
Will, IL 3,341 1.6%
DuPage, IL 3,156 1.5%
31. 31
Laborshed
Commuters Proportion
Porter, IN 25,554 13.2%
Cook, IL 14,026 7.2%
La Porte, IN 4,685 2.4%
Jasper, IN 3,131 1.6%
Marion, IN 2,527 1.3%
Labor market
Source: U.S. Census Bureau – Longitudinal Employer-Household Dynamics (LEHD)
section 04
72,982
In-Commuters
120,585
Same Work/
Home
A county’s laborshed is the
geographic area from which it
draws employees.
Thirty-eight percent of individuals
working in Lake County commute from
another county for work. Porter County,
Indiana, and Cook County, Illinois, are
the biggest sources of outside labor for
Lake County.
Sixty-four percent of in-commuters
reside in counties adjacent to Lake
County; however, the fifth largest
laborshed county is the Indianapolis
metropolitan area (Marion County,
Indiana).
32. 32
Commuteshed in 2011
Labor market
section 04
Source: U.S. Census Bureau, OTM, LEHD, PCRD
Eighty percent of Lake County’s
working residents are employed
either in Lake or Cook Counties.
Another 5 percent commute to
Porter, while an additional 5
percent travel to jobs in DuPage,
Will, LaPorte or Marion Counties
Collectively, these seven counties
represent 90 percent of the
commuteshed for Lake County.
33. 33
Laborshed in 2011
Labor market
section 04
Source: U.S. Census Bureau, OTM, LEHD, PCRD
The bulk (80 percent) of Lake
County’s workforce is drawn from
Lake and Porter Counties. Another
5 percent is drawn from LaPorte
County in Indiana and Cook County
in Illinois. An additional 5 percent
comes from Will County in Illinois
and Saint Joseph, Jasper and
Marion Counties in Indiana.
Combined, the eight counties
represent 90 percent of Lake
County’s laborshed.
34. 34
Takeaways
Lake County’s unemployment rate has increased
since 2002.The majority of this increase occurred
during the period of the Great Recession
(approximately 2009 to 2010).
Despite population increases, the county’s labor
force has decreased since 2002, indicating that
there may be an increasing number of individuals
who are unemployed or are discouraged workers
(workers who have given up trying to find a job).
Employees that work but do not live in Lake
County tend to commute from surrounding
counties. People who commute out of the county
for work tend to travel to other metropolitan
areas.
Lake County should assess if a major workforce
development training effort should be targeted
to the growing number of working age adults
struggling to find jobs.
The laborshed and commuteshed data
offer solid evidence of the value of
pursuing economic and workforce
development on a regional (multi-
county) basis.
Labor market
section 04
35. 35
.
Report Contributors
This report was prepared by the Purdue Center for Regional Development in partnership with
Purdue University Extension.
Labor market
section 04
Data Analysis
Indraneel Kumar, Ph.D.
Ayoung Kim
Report Authors
Elizabeth Dobis
Bo Beaulieu, Ph.D.
Report Design
Tyler Wright
Adeline Jackson
It is the policy of the Purdue University Cooperative Extension Service that all persons have equal opportunity and access to its
educational programs, services, activities, and facilities without regard to race, religion, color, sex, age, national origin or ancestry,
marital status, parental status, sexual orientation, disability or status as a veteran. Purdue University is an Affirmative Action
institution. This material may be available in alternative formats.
36. FOR MORE
INFORMATION
Purdue Center for Regional Development
(PCRD) . . .
seeks to pioneer new ideas and strategies that contribute
to regional collaboration, innovation and prosperity.
Purdue Extension Community Development
(CD) . . .
works to strengthen the capacity of local leaders, residents
and organizations to work together to develop and sustain
strong, vibrant communities.
OR
Please contact
Janet Reed
Extension Educator
219-755-3240
reedjm@purdue.edu