The document provides a data snapshot of demographic, economic, and labor market information for Marion County. It experienced population growth between 2000-2013 primarily through natural increase, though domestic migration was negative. The population became more racially/ethnically diverse and older during this period. The county saw a doubling in the number of establishments from 2000-2011, largely through business startups. The top five industries were health care, government, retail, manufacturing, and administrative/support services, accounting for around half of all jobs.
This presentation will provide, for the start of 2020, an overview of some of the most relevant trends in our metro economy- topics will include trends in gross domestic product for peer metros, job growth by sector, changes in wage levels, trends in residential permitting, and current forecasts.
Tri-State Regional Workforce Alliance, Economic Report, 2016 UpdateLucas Stewart
Final regional economic report prepared for the Southeast Tennessee Development District and Tri-State Regional Workforce Alliance, Inc. as part of The University of Tennessee, Knoxville's Smart Communities Initiative.
January 2013 - Rio’s state and city family grant modelFGV Brazil
Someone looking at the Economy of Rio de Janeiro at the beginning of this century could hardly have imagined where the state — especially its capital — would be today. Since 2000, per capita income has more than doubled. Violence has been reduced, primarily by the Pacifying Police Units (UPPs) currently installed in 28 city slums, and public education has gained a new management model.
The Brazilian Economy is one of the oldest publications for expert economic analysis of both the Brazilian and international economies. Through this publication, FGV’s Brazilian Institute of Economics and Finance (FGV/IBRE) compares different periods of the economy, assessing both macroeconomic considerations and scenarios related to finance, administration, marketing, management, insurance, statistics, and price indices.
For more information, and Brazilian economic index results, visit: http://bit.ly/1EA1Loz
March 2011 - Electricity regulation needs to be rechargedFGV Brazil
The Brazilian Economy is one of the oldest publications for expert economic analysis of both the Brazilian and international economies. Through this publication, FGV’s Brazilian Institute of Economics and Finance (FGV/IBRE) compares different periods of the economy, assessing both macroeconomic considerations and scenarios related to finance, administration, marketing, management, insurance, statistics, and price indices.
For more information, and Brazilian economic index results, visit: http://bit.ly/1EA1Loz
The allocation of most of the budgetary resources of the Brazilian government (45%) for the payment of interest and amortization of public debt is unsustainable in the medium and long term because Brazil would not have public resources to invest in economic and social infrastructure and transfer resources to social security and to the states and municipalities. In addition to the domestic public debt that compromises the future of the country, the foreign debt in the amount of US$ 523.7 billion in June 2016 that exceeds US$ 379 billion of the country's reserves increases further the economic vulnerability of Brazil. Taking into account the risk that Brazil may face in the future with the "explosion" of domestic and external debt, it is urgent to carry out an audit of the debt and its renegotiation in order to stretch it in time to reduce the country's burden of payment service of these debts. Without the adoption of this policy, the Brazilian government will have to make foresight social reform to the detriment of the population and privatize public assets as is being advocated by the government Michel Temer.
OECD Regions and Cities at a Glance 2018 - OverviewOECD CFE
Presentation by Rudiger Ahrend, Head of Economic Analysis, Statistics and Multi-level Governance at the OECD Centre for Entrepreneurship, SMEs, Regions and Cities at the second meeting of the Spatial productivity Lab of the OECD Trento Centre held on 4 December 2018.
More info http://oe.cd/SPL
Regional Snapshot: 2019 Federal Opportunity ZonesARCResearch
This month's regional snapshot reviews the Federal Opportunity Zones program - what it is, which communities have received the designation, and how those communities compare to their county and the region as a whole.
This presentation will provide, for the start of 2020, an overview of some of the most relevant trends in our metro economy- topics will include trends in gross domestic product for peer metros, job growth by sector, changes in wage levels, trends in residential permitting, and current forecasts.
Tri-State Regional Workforce Alliance, Economic Report, 2016 UpdateLucas Stewart
Final regional economic report prepared for the Southeast Tennessee Development District and Tri-State Regional Workforce Alliance, Inc. as part of The University of Tennessee, Knoxville's Smart Communities Initiative.
January 2013 - Rio’s state and city family grant modelFGV Brazil
Someone looking at the Economy of Rio de Janeiro at the beginning of this century could hardly have imagined where the state — especially its capital — would be today. Since 2000, per capita income has more than doubled. Violence has been reduced, primarily by the Pacifying Police Units (UPPs) currently installed in 28 city slums, and public education has gained a new management model.
The Brazilian Economy is one of the oldest publications for expert economic analysis of both the Brazilian and international economies. Through this publication, FGV’s Brazilian Institute of Economics and Finance (FGV/IBRE) compares different periods of the economy, assessing both macroeconomic considerations and scenarios related to finance, administration, marketing, management, insurance, statistics, and price indices.
For more information, and Brazilian economic index results, visit: http://bit.ly/1EA1Loz
March 2011 - Electricity regulation needs to be rechargedFGV Brazil
The Brazilian Economy is one of the oldest publications for expert economic analysis of both the Brazilian and international economies. Through this publication, FGV’s Brazilian Institute of Economics and Finance (FGV/IBRE) compares different periods of the economy, assessing both macroeconomic considerations and scenarios related to finance, administration, marketing, management, insurance, statistics, and price indices.
For more information, and Brazilian economic index results, visit: http://bit.ly/1EA1Loz
The allocation of most of the budgetary resources of the Brazilian government (45%) for the payment of interest and amortization of public debt is unsustainable in the medium and long term because Brazil would not have public resources to invest in economic and social infrastructure and transfer resources to social security and to the states and municipalities. In addition to the domestic public debt that compromises the future of the country, the foreign debt in the amount of US$ 523.7 billion in June 2016 that exceeds US$ 379 billion of the country's reserves increases further the economic vulnerability of Brazil. Taking into account the risk that Brazil may face in the future with the "explosion" of domestic and external debt, it is urgent to carry out an audit of the debt and its renegotiation in order to stretch it in time to reduce the country's burden of payment service of these debts. Without the adoption of this policy, the Brazilian government will have to make foresight social reform to the detriment of the population and privatize public assets as is being advocated by the government Michel Temer.
OECD Regions and Cities at a Glance 2018 - OverviewOECD CFE
Presentation by Rudiger Ahrend, Head of Economic Analysis, Statistics and Multi-level Governance at the OECD Centre for Entrepreneurship, SMEs, Regions and Cities at the second meeting of the Spatial productivity Lab of the OECD Trento Centre held on 4 December 2018.
More info http://oe.cd/SPL
Regional Snapshot: 2019 Federal Opportunity ZonesARCResearch
This month's regional snapshot reviews the Federal Opportunity Zones program - what it is, which communities have received the designation, and how those communities compare to their county and the region as a whole.
An overview of recent population trends in Illinois, its origins and potential implication. This research was compiled by Northern Illinois University researcher Brian Harger.
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
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
Reporting to Tracking Authorities:
We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
Assistance with Filing Police Reports:
We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
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.
4. 4
Purpose
This document provides information
and data about Marion 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 Marion County
Introduction
section 01
County Background
Established 1822
County
Seat
Indianapolis
Area 403 sq. mi.
Neighboring
Counties
Hamilton, IN
Hancock, IN
Shelby, IN
Johnson, IN
Morgan, IN
Hendricks, IN
Boone, IN
7. 7
Population change
Components of Population Change, 2000-
2013
Total Change 60,813*
Natural Increase 100,188
International Migration 30,341
Domestic Migration -64,339
The total population is
projected to increase
by 3 percent between
2013 and 2020.
Demography
Sources: STATSIndiana, U.S. Census Bureau – 2000 Decennial Census, 2010 Decennial Census, 2013 Estimates, Estimates of the Components of Resident
Population Change
section 02
The total population increased by 8 percent between
2000 and 2013. The major contributor to that expansion
was natural increase (births minus deaths over that span
of time) with a net growth of nearly 100,188 persons.
Data on domestic migration (the difference between the
number of people moving in of the county versus moving
out) shows that in-migration was outpaced by out-
migration by 64,339 people. On the other hand,
international migration had a net increase of 30,341
individuals, indicating that the county experienced an
influx of new people from outside the U.S.
860,454
903,393
928,281
951,780
2020201320102000
Total population
projections
*Components of population extracted from Components of Population Change 2010 (CO-EST-2010) and Components
of Population Change (PEPCOMP 2013). Estimation residuals lead to differences between total change and total
population.
8. 8
7.5%
7.0%
7.7%
8.2%
7.3%
4.7%
2.9%
2.1%
0.9%
7.2%
6.7%
8.0%
8.2%
7.7%
5.2%
3.5%
3.1%
2.0%
10 8 6 4 2 0 2 4 6 8 10
0-9
10-19
20-29
30-39
40-49
50-59
60-69
70-79
80+
Percent of the Population
AgeCohort
Population pyramids
Population pyramids are visual representations of the age distribution of the population by
gender.
There are proportionately more females than males in
Marion County.Approximately 48.3 percent of the
population was male in 2000 (415,998 people) and that
percent increased slightly to 48.4 percent (447,822 people)
in 2013.The distribution of people across the various age
categories changed as well, with a larger share of people
shifting into the higher age groupings
Demography
Source: U.S. Census Bureau – 2000 Decennial Census and 2013 Annual Population Estimates
section 02
over the 2000 to 2013 time period.The number of individuals
50 and over now stands at nearly 273,000 people (about 30
percent of the population, up from 24 percent in 2000).The
percentage of people under 50 years old also increased for
the overall population between 2000 and 2013.
Male Female
20132000
Male Female
7.5%
6.5%
7.7%
7.1%
6.2%
6.4%
4.0%
1.9%
1.1%
7.1%
6.3%
8.3%
7.3%
6.5%
6.9%
4.7%
2.6%
2.0%
10 8 6 4 2 0 2 4 6 8 10
0-9
10-19
20-29
30-39
40-49
50-59
60-69
70-79
80+
Percent of the Population
AgeCohort
9. 9
Race
The number of non-White
residents in Marion County
increased by 6 percentage points
between 2000 and 2013.
While every race other thanWhite
experienced a numerical increase, the
population of Black and Mixed
Descent races gained the most
people, expanding from 24 percent to
28 percent and 1 percent to 3 percent,
respectively, of the total population
between 2000 and 2013.
Demography
Data Source: U.S. Census Bureau – 2000 Decennial Census and 2013 Annual Population Estimates
section 02
White,
73%
Other,
27%
2000
Black
Asian
Native
Two or More Races
White,
67%
Other,
33%
2013
Black
Asian
Native
Two or More Races
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 33,300 Hispanics
residing in Marion County in 2000.
This figure expanded to 90,426 by
2013, a 171 percent increase.
As a result, Hispanics now make up
10 percent of the overall population
(versus 4 percent in 2000).
Demography
Source: U.S. Census Bureau – 2000 Decennial Census and 2013 Annual Population Estimates
section 02
10%
4%
Hispanics - 2000
Hispanics - 2013
11. 11
Educational attainment
Demography
Source: U.S. Census Bureau – 2000 Decennial Census and 2013 ACS
section 02
Less than
High School
18%
High School
30%
Some
College
21%
Associate's
6%
Bachelor's or
more
25%
2000
Less than
High School
16%
High School
29%
Some College
21%
Associate's
7%
Bachelor's or
more
27%
2013
Educational attainment for adults 25
years of age and older in Marion
County is increasing.
The proportion of adults (25 years of age
and older) with a high school education or
more improved from 82 percent in 2000 to
84 percent by 2013.
The percent with less than a high school
education fell by 2 percent over the 2000
to 2013 time period (from 18 percent to 16
percent). On the other hand, those with
some college education stayed constant
(21 percent) and those with an associate’s
degree grew from 6
percent to 7 percent.
The number of adults with a bachelor’s
degree or more grew from 25 percent in
2000 to 27 percent in 2013, a 2
percent increase.
12. 12
Takeaways
The population of Marion County is expected to
grow rapidly over the next few years, and, if past
trends hold, that increase will be largely due to
natural increase (more births than deaths).
While Marion County’s population grew from
2000 to 2013, it has also become slightly older.
The number of residents in Marion County that
are 50 years of age and above has increased from
210,000 people in 2000 to 273,000 people in 2013.
They have also increased as a share of residents,
from 24 percent to 30 percent.
In addition, 64,300 people migrated out of
Marion County to other parts of the country,
meaning that individuals are moving out of the
county at a faster pace than they are moving in.
Part of this movement is counter-balanced by
international immigration, which increased the
population of Marion County by 30,341 people
between 2000 and 2013.
The education level of the population has increased,
although 16 percent of the population do not have a
high school diploma.The county has become more
racially and ethnically diverse since 2000.
In order to attract more highly educated
working-age individuals, Marion County
should explore what mix of services and
amenities will retain and attract these
educated young adults and prevent some of
leaving the county.
Demography
section 02
14. 14
Establishments
Components of Change for Establishments
Total Change (2000-11) 32,001
Natural Change (births minus
deaths)
32,221
Net Migration -220
The number of establishments in Marion
County doubled between 2000 and 2011.
The rapid growth of establishments was largely due
to natural change.That is, 84,816 establishments
were launched in the county between 2000 and
2011, while 52,595 closed, resulting in a gain of
32,221 establishments.
Economy
Source: National Establishment Time Series (NETS) – 2012 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
Note: The 2011 figures use 2012 data to include all gains and losses over the entire year. Establishment
information was calculated in-house and may differ slightly from publicly available data.
15. 15
Number of establishments by
stage/employment category
Economy
Source: National Establishment Time Series (NETS) – 2012 Database
section 03
2000 2011
Stage Establishments Proportion Establishments Proportion
Stage 0 7,092 18.9% 20,425 29.3%
Stage 1 20,408 54.3% 39,613 56.9%
Stage 2 8,988 23.8% 8,553 12.3%
Stage 3 1,004 2.6% 937 1.3%
Stage 4 157 0.4% 122 0.2%
Total 37,649 100% 69,650 100%
The NETS Database is derived from the Dun & Bradstreet archival national establishment data, a population of known establishments in
the United States that is quality controlled and updated annually. Establishments include both private and public sector business units
and range in size from one employee (i.e., sole-proprietors and self-employed) to several thousand employees.
16. 16
Number of jobs by stage/employment
category
Economy
Source: National Establishment Time Series (NETS) – 2012 Database
section 03
2000 2011
Stage Jobs* Proportion Jobs* Proportion
Stage 0 7,092 1% 20,425 2.9%
Stage 1 81,538 11.5% 121,421 17.5%
Stage 2 236,384 32.7% 235,576 34%
Stage 3 177,458 24.4% 164,774 23.7%
Stage 4 227,890 30.3% 151,279 21.8%
Total 730,362 100% 693,475 100%
Note: The 2011 figures use 2012 data to include all gains and losses over the entire year.
*Includes both full-time and part-time jobs
17. 17
Number of sales by stage/employment
category
Economy
Source: National Establishment Time Series (NETS) – 2012 Database
section 03
2000 2011
Stage Sales (2011 $) Proportion Sales (2011 $) Proportion
Stage 0 $1,016,174,445 1% $1,445,687,552 3%
Stage 1 $12,078,946,200 15% $11,316,247,470 21%
Stage 2 $ 36,676,449,511 34% $26,731,903,141 35%
Stage 3 $25,243,290,172 20% $16,890,549,854 26%
Stage 4 $26,570,832,400 29% $17,558,366,273 16%
Total $80,042,491,550 100% $73,942,754,290 100%
Note: The 2011 figures use 2012 data to include all gains and losses over the entire year.
18. 18
Top five industries in 2013
Around 50 percent of jobs are
tied to one of the top five
industries in Marion County
Health Care & Social Assistance is the
largest industry sector (87,735 jobs).
Administrative & Support &Waste
Management & Remediation Services is
the smallest of the top industry sectors
with 54,226 jobs.
Economy
section 03
Health Care and
Social Assistance
13%
Government
13%
Retail Trade
8%
Manufacturing
8%
Administrative
and Support and
Waste
Management and
Remediation
Services
8%
All other
Industries
50%
Source: Economic Modeling Specialists International (EMSI) – 2014.3 – QCEW Employees, Non-QCEW Employees, Self-Employed, and Extended Proprietors
19. 19
Industry distribution and change
NAICS
Code
Description
Jobs
2002
Jobs
2013
Change
(2002-2013)
% Change
(2002-2013)
Average Total
Earnings 2013
11 Crop and Animal Production 1,438 1,037 -401 -28% $37,738
21 Mining, Quarrying, and Oil and Gas Extraction 220 209 -11 -5% $49,034
22 Utilities 1,914 1,452 -462 -24% $119,170
23 Construction 34,790 31,585 -3,205 -9% $62,464
31 Manufacturing 75,205 55,145 -20,060 -27% $107,586
42 Wholesale Trade 33,442 26,648 -6,794 -20% $70,011
44 Retail Trade 65,921 55,267 -10,654 -16% $32,192
48 Transportation and Warehousing 36,504 40,256 3,752 10% $50,301
51 Information 11,919 12,639 720 6% $83,422
52 Finance and Insurance 35,817 33,544 -2,273 -6% $80,950
53 Real Estate and Rental and Leasing 17,873 17,660 -213 -1% $46,087
54 Professional, Scientific, and Technical Services 35,351 40,563 5,212 15% $81,907
55 Management of Companies and Enterprises 7,505 7,896 391 5% $104,909
56
Administrative and Support and Waste
Management and Remediation Services
46,438 54,266 7,828 17% $32,081
61 Educational Services 8,985 14,151 5,166 57% $39,891
62 Health Care and Social Assistance 69,269 87,735 18,466 27% $63,271
71 Arts, Entertainment, and Recreation 11,015 11,684 669 6% $52,286
72 Accommodation and Food Services 44,457 49,241 4,784 11% $19,723
81 Other Services (except Public Administration) 37,849 39,458 1,609 4% $28,672
90 Government 79,095 82,870 3,775 5% $64,494
99 Unclassified Industry 49 <10 --- --- ---
All Total 655,055 663,308 8,253 1 % $57,686
Economy
section 03
Source: Economic Modeling Specialists International (EMSI) – 2014.3 – QCEW Employees, Non-QCEW Employees, Self-Employed, and Extended Proprietors
Note: Average total earnings include wages, salaries, supplements and earnings from investments and proprietorships.
20. 20
Industry distribution and change
The largest employment gains in
Marion County occurred in:
Educational Services (+57 percent)
Health Care and SocialAssistance
(+27 percent)
The largest employment losses
occurred in:
Crop andAnimal Production (-28
percent)
Manufacturing (-27 percent)
Economy
section 03
Employment Increase Employment Decrease
Industries with the largest gains and losses
in employment numbers between 2002 &
2013:
HealthCare &
SocialAssistance
(+18,466)
Administrative &
Waste Management
(+7,828)
RetailTrade
(-10,654)
Manufacturing
(-20,060)
Source: Economic Modeling Specialists International (EMSI) – 2014.3 – QCEW Employees, Non-QCEW Employees, Self-Employed, and Extended Proprietors
21. 21
Office and
Administrative
Support
15%
Sales and Related
10%
Transportation
and Material
Moving
9%
Food Preparation
and Serving
Related
7%
Healthcare
Practitioners and
Technical
7%
All Other
Occupations
52%
Top five occupations in 2013
The top five occupations in
Marion County represent 48
percent of all jobs.
Office & Administrative Support and
Sales & Related are the occupations with
the largest number of workers.
Marion County is an emerging location
for logistics occupations.This trend is
confirmed by the high percentage of
jobs inTransportation & Material Moving
(9 percent).
The importance of Marion County as a
regional hub of specialized hospitals and
health care facilities is shown in the
chart. Healthcare Practitioners &
Technical Occupations are among one of
the top five occupations in the county (7
percent of jobs).
Economy
section 03
Source: Economic Modeling Specialists International (EMSI) – 2014.3 – QCEW Employees, Non-QCEW Employees, Self-Employed, and Extended Proprietors
22. 22
SOC Description
Jobs
2002
Jobs
2013
Change
(2002-2013)
% Change
(2002-2013)
Hourly
Earnings 2013
11 Management 36,764 38,044 1,280 3% $43.69
13 Business and Financial Operations 35,925 37,004 1,079 3% $32.31
15 Computer and Mathematical 16,493 19,099 2,606 16% $35.48
17 Architecture and Engineering 12,107 10,863 -1,244 -10% $36.38
19 Life, Physical and Social Science 8,146 9,090 944 12% $30.48
21 Community and Social Service 8,337 8,947 610 7% $22.75
23 Legal 6,323 6,333 10 0% $40.22
25 Education, Training and Library 23,833 26,793 2,960 12% $23.20
27 Arts, Design, Entertainment, Sports and Media 14,137 15,336 1,199 8% $19.40
29 Health Care Practitioners and Technical 38,728 46,134 7,406 19% $37.01
31 Health Care Support 13,628 17,405 3,777 28% $13.82
33 Protective Service 13,416 14,932 1,516 11% $18.19
35 Food Preparation and Serving Related 42,702 46,886 4,184 10% $10.36
37 Building and Grounds Cleaning Maintenance 21,203 23,093 1,890 9% $11.42
39 Personal Care and Service 18,508 25,101 6,593 36% $10.20
41 Sales and Related 77,232 70,252 -6,980 -9% $20.01
43 Office and Administrative Support 103,779 96,913 -6,866 -7% $17.18
45 Farming, Fishing and Forestry 853 791 -62 -7% $13.61
47 Construction and Extraction 27,573 25,061 -2,512 -9% $22.89
49 Installation, Maintenance and Repair 25,886 24,553 -1,333 -5% $21.39
51 Production 47,619 36,626 -10,993 -23% $17.43
53 Transportation and Material Moving 56,046 57,335 1,289 2% $16.73
55 Military 3,672 3,441 -231 -6% $21.38
99 Unclassified 2,145 3,273 1,128 53% $11.23
All Total 655,055 663,308 8,253 1% $22.16
Occupation distribution and change
Economy
section 03
Source: Economic Modeling Specialists International (EMSI) – 2014.3 – QCEW Employees, Non-QCEW Employees, Self-Employed, and Extended Proprietors
23. 23
Occupation distribution and change
Economy
section 03
The largest percentage gains in
employment in Marion County
occurred in:
Personal Care and Service
Occupations (+36 percent)
Health Care and Support
Occupations (+ 28 percent)
The largest percentage loss in
employment occurred in:
Production (-23 percent)
Architecture and Engineering (-10
percent)
Healthcare
Practitioners
(+7,406)
Personal Care &
Service Related
(+6,593)
Production
(-10,993)
Sales & Related
(-6,980)
Employment Increase Employment Decrease
Source: Economic Modeling Specialists International (EMSI) – 2014.3 – QCEW Employees, Non-QCEW Employees, Self-Employed, and Extended Proprietors
Occupations with the largest gains and losses
in employment numbers between 2002 & 2013:
24. 24
Income and poverty
2000 2006 2013
Total Population in
Poverty
105,941 134,137 193,459
Minors (up to age 17) in
Poverty
42,140 52,613 67,993
Real Median Income
(2013 $)
$57,665 $48,047 $41,478
The median income in Marion
County dipped by $16,187
between 2000 and 2013.
Both the total population in
poverty and the number of minors
in poverty increased by big figures.
The number of minors in poverty
increased 61 percent between
2000 and 2013.
Economy
Source: U.S. Census Bureau – Small Area Income and Poverty Estimates (SAIPE)
section 03
25. 25
Income and poverty
Median income in Marion 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
-
10,000
20,000
30,000
40,000
50,000
60,000
70,000
PopulationinPoverty(percent)
RealMedianIncome(2013dollars)
Median Income
Minors in Poverty
All Ages in Poverty
26. 26
Takeaways
Marion County experienced an explosion of
self-employment and Stage 1
establishments between 2000 and 2011.
So, focusing on the needs of the self-
employment (Stage 0) and start-up (Stage
1) establishments may be worthwhile to
sustain the businesses.
Healthcare, waste management and government
are growth sectors for Marion County.These are
industries and occupations that demand workers
with varying educational levels.
Median income has decreased and poverty has
increased in Marion County since 2000.
Marion County might focus on policies and
programs that strengthen high-growth Stage 2
firms since they employ several people and capture
sizable sales.This could help the new self-
employment and Stage 1 establishments grow at a
faster pace as well.
Promoting job growth for occupations in sectors
that hire production and farming workers may help
offset the large proportional decrease in
employment these occupations have experienced
since 2000.
Services targeted to poverty-stricken individuals
should be considered, given the dramatic rise in
poverty, especially among children under 18 years
of age.
Economy
section 03
28. 28
Labor force and unemployment
2002 2007 2013
Labor Force 461,537 463,314 469,131
Unemploymen
t Rate
5.2% 4.6% 7.7%
The labor force in Marion County
increased 1.6 percent between 2002
and 2013.
Workforce numbers started to rise again
after the acute period of theGreat
Recession from 2008 to 2009, indicating
people are back looking for jobs.With
these additional job-seekers, the
recovery of the employment rate in
Marion County might have suffered a
slowdown.
Labor market
Source: U.S. Bureau of Labor Statistics – Local Area Unemployment Statistics
section 04
29. 29
Unemployment rate
Between 2002 and 2013, the unemployment rate in Marion County peaked at 9.9 percent in
2010.
Labor market
Source: U.S. Bureau of Labor Statistics – Local Area Unemployment Statistics
section 04
2.7%
5.2%
4.6%
9.9%
7.7%
0.0
2.0
4.0
6.0
8.0
10.0
12.0
UnemploymentRate(percent)
30. 30
Commuteshed in 2011
A county’s commuteshed is the
geographic area to which its
work force travels to work.
Twenty-nine percent of employed
residents in Marion County
commute to jobs located outside of
Marion County.
The top commuteshed counties for
Marion County residents who work
outside of the county are Hamilton
County, Indiana, and Hendricks
County, Indiana.
Labor market
Source: U.S. Census Bureau – Longitudinal Employer-Household Dynamics (LEHD)
section 04
116,423
Out-Commuters
285,572
Same Work/
Home
Commuters Proportion
Marion, IN 285,572 71%
Hamilton, IN 32,410 8.1%
Hendricks, IN 15,476 3.8%
Johnson, IN 10,125 2.5%
Boone, IN 4,272 1.1%
Allen, IN 3,939 1%
All others 50,201 12.4%
31. 31
Commuteshed in 2011
Labor market
section 04
Source: U.S. Census Bureau, OTM, LEHD, PCRD
Eighty percent of Marion
County’s working residents are
employed within Marion County
and Hamilton County. Another 5
percent commute to Hendricks
County. Boone, Johnson,
Hancock, Allen,Tippecanoe and
Monroe Counties represent
another 5 percent.
Collectively, these counties
represent 90 percent of the
commuteshed for Marion County.
32. 32
Laborshed in 2011
Commuters Proportion
Marion, IN 285,572 48.9%
Hamilton, IN 63,224 10.8%
Hendricks, IN 37,297 6.4%
Johnson, IN 30,915 5.3%
Hancock, IN 16,448 2.8%
Morgan , IN 14,255 2.4%
All others 136,427 23.3%
Labor market
Source: U.S. Census Bureau – Longitudinal Employer-Household Dynamics (LEHD)
section 04
298,566
In-Commuters
285,572
Same Work/
Home
A county’s laborshed is the
geographic area from which it
draws employees.
Fifty-one percent of individuals working
in Marion County commute from another
county for work. Hamilton County,
Indiana, and Hendricks County, Indiana,
are the biggest sources of outside labor
for Marion County.
Twenty-seven percent of in-commuters
reside in counties adjacent to Marion
County. However, Marion county attracts
workers from the entirety of Indiana.
33. 33
Laborshed in 2011
Labor market
section 04
Source: U.S. Census Bureau, OTM, LEHD, PCRD
Around 80 percent of Marion County’s
workforce is drawn from Marion
County and its adjacent counties,
excluding Shelby County. Another 5
percent is drawn from more distant
counties likeTippecanoe, Lake and
Allen counties.
An additional 5 percent comes from
several counties, including Howard,
St. Joseph, Delaware and
Vanderburgh Counties in Indiana.
Combined, the counties represent 90
percent of Marion County’s laborshed.
34. 34
Takeaways
Marion County’s unemployment rate has
increased since 2002.The majority of this increase
occurred during the Great Recession
(approximately 2008 to 2010), reaching a peak in
2010.
Despite population increases of more than 60,000
people, the county’s labor force has only increased
marginally since 2002 (+8,000 people).This may
be due to a larger increase in the aging population
of Marion County relative to its working age
population.
Employees that work but do not live in Marion
County tend to commute from different parts of
Indiana, but this movement is especially strong for
surrounding counties. People who commute out of
the county tend to travel short distances within
Indiana for work .
Marion 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 central role of
Marion County in Indiana and the
advantages 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
Michael Wilcox, Ph.D.
Report Authors
Francisco Scott
Bo Beaulieu, Ph.D.
Report Design
Tyler Wright
Adeline Jackson
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36. FOR MORE
INFORMATION
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to regional collaboration, innovation and prosperity.
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Please contact
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317-275-9305
cderusha@purdue.edu
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County ExtensionCommunity
Development Educator
317-275-9305
okantey@purdue.edu
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