PCRD Data Snapshot

1. Data SnapShot Series 1.1
June 2015
DATA SNAPSHOT
Daviess County

2. Table of contents
Introduction
01
Demography
02
Economy
03
Labor Market
04

3. Purpose
About Daviess County
01
introduction

4. 4
Purpose
This document provides information
and data about Daviess 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 Daviess County
Introduction
section 01
County Background
Established 1816
County
Seat
Washington
Area 437 sq. mi.
Neighboring
Counties
Dubois, IN
Greene, IN
Knox, IN
Martin, IN
Pike, IN

6. Population change
Population pyramids
Race
Ethnicity
Educational attainment
Takeaways
02
demograph
y

7. 7
29,820
31,648
32,407
34,096
Population change
Components of Population Change, 2000-
2013
TotalChange 1,859*
Natural Increase 2,687
International Migration 600
Domestic Migration -1,251
The total population is
projected to increase by
5 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 county’s total population increased by 9 percent
between 2000 and 2013. Natural increase (births minus
deaths over that span of time) was the major contributor to
that expansion, with a gain of almost 2,700 persons.
International migration also increased by 600 individuals,
indicating that the county experienced an influx of new
people from outside the United States. In contrast, domestic
migration (the difference between the number of people
moving into the county versus moving out) resulted in a loss
of 1,251 individuals in Daviess County between 2000 and
2013.
Total population
projections
2000 2010 2013 2020
*Total change in population differs from the sum of the components due to Census estimation techniques. Residuals (not reported here) make up the difference.

8. 8
8.6%
7.7%
6.4%
5.9%
5.8%
6.5%
4.9%
2.7%
1.3%
8.2%
7.2%
6.0%
5.6%
5.7%
6.3%
5.2%
3.2%
2.6%
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 Total PopulationAgeCohort
8.2%
8.3%
6.0%
6.7%
6.9%
5.3%
3.5%
2.8%
1.4%
7.5%
7.7%
5.6%
6.4%
6.9%
5.5%
4.2%
3.9%
2.9%
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 Total Population
AgeCohort
Population pyramids
Population pyramids are visual representations of the age distribution of the population by
gender.
Approximately 50.7 percent of the population was female
in 2000 (15,115 people) and that percentage remained
about the same in 2013.What did change is the distribution
of people across the various age categories. A larger share
of people shifted into the higher age groupings over the
2000 to 2013 time period.
Demography
Source: U.S. Census Bureau – 2000 Decennial Census and 2013 Annual Population Estimates
section 02
People 50 and over increased from 13.0% to 15.4% for males
and from 16.5% to 17.3% for females between 2000 and
2013. Individuals of prime working age (20–49) dipped from
19.7% to 18.1% for males and from 19.0% to 17.3% for
females. However, residents under 20 years of age remained
constant at 31.7% of the total population.
Male Female
20132000
Male Female

9. 9
White
97%
Other
3%
Black
Asian
Native
Two or More
Races
White
99%
Other
1%
Black
Asian
Native
Two or More
Races
Race
The proportion of non-White residents
in Daviess County doubled between
2000 and 2013.
Every race experienced a numerical increase
over the time period. Of the non-White
races, the Asian (+156) and people ofTwo or
More Race (+161) populations gained the
most. Proportionally, the Asian (+211
percent) and Native (+130 percent) races
gained the most.The White population
increased by 2,069 residents between 2000
and 2013; however, on a proportional basis
this was a small gain.
Demography
Source: U.S. Census Bureau – 2000 Decennial Census and 2013 Annual Population Estimates
section 02
2000
2013

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 620 Hispanics residing
in Daviess County in 2000.This
figure expanded to 1,480 by 2013, a
138.7 percent increase.
Due to this numeric increase, the
proportion of Hispanics in the
population is now around 5 percent.
Demography
Source: U.S. Census Bureau – 2000 Decennial Census and 2013 Annual Population Estimates
section 02
5%
2%
Hispanics - 2000
Hispanics - 2013

11. 11
No High
School, 28%
High School,
40%
Some
College,
16%
Associate's
Degree, 7%
Bachelor's
Degree or
More, 10%
Educational attainment
DaviessCounty had a 3 percentage point
increase in the number of adults (25 and
older) with an associate’s, bachelor’s or
graduate degree from 2000 to 2013.
The proportion of adults 25 years of age and
older with a high school education or more
improved from 72 percent in 2000 to 77
percent by 2013.Those with only a high
school degree rose slightly from 40 percent
in 2000 to 41 percent in 2013.
Adults with a college education increased
from 17 percent in 2000 to 20 percent in 2013.
This was due to a 1 percentage point increase
in the proportion of residents with associate’s
degrees (7 percent versus 8 percent), while
the proportion of adults with a bachelor's
degree or more increased from 10 percent to
12 percent, a 2 percentage point growth.
.
Demography
Source: U.S. Census Bureau – 2000 Decennial Census and 2013 ACS
section 02
2000
2013
No High
School, 23%
High School,
41%
Some
College,
16%
Associate's
Degree, 8%
Bachelor's
Degree or
More, 12%

12. 12
Takeaways
The population of DaviessCounty is expected to
grow over the next few years, and, if past trends
hold, that increase will be largely due to natural
increase (more births than deaths).
In examining the composition of DaviessCounty’s
population, one finds an aging population in
which the largest age group of workers (50–59) is
nearing retirement age. Additionally, the number
of men and women of prime working age (20–49)
is slowly declining. Noticeably, the number of
persons between 30 and 39 years of age took a
significant dip between 2000 and 2013.The drop
is possibly due to domestic out-migration of
people looking for opportunities out of the
county or in other U.S. locations. On the other
hand, the county experienced growth in the
youngest residents (0–9 years of age) over the
same time period.
Though the racial and ethnic diversity of Daviess
County has doubled since 2000, it remains primarily
white and non-Hispanic.
The educational attainment of adults 25 and over
has improved since 2000, but the percentage of
adults with a high school education (41 percent) or
less (23 percent) remains sizable.Taking time to
assess whether local economic development
opportunities might be impeded by the presence of
a sizable number of adults with a terminal high
school degree or less may be worthy of attention.
While one in five adult residents of the county have
an associate’s, bachelor’s, or higher degree, this
figure is about 12 percent below the figure for the
state of Indiana as a whole.
Daviess County may wish to assess the
workforce skills of workers with a high school
education only. Enhancing their skills so that
they match the needs of local businesses and
industries may be a worthy investment.
Demography
section 02

13. Establishments
Industries
Occupations
Income and poverty
Takeaways
03
economy

14. 14
Establishments
Components of Change for Establishments
Total Change (2000-11) 937
Natural Change (births minus
deaths)
910
Net Migration 27
The number of establishments in Daviess
County increased 61 percent from 2000 to
2011.
The rapid growth of establishments was largely due
to natural change.That is, 2,140 establishments
were launched in the county from 2000 to 2011,
while 1,230 closed, resulting in a gain of 910
establishments.There was a small gain of 27
establishments due to net migration.
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 0 439 29% 826 33%
Stage 1 866 56% 1,400 57%
Stage 2 212 14% 227 9%
Stage 3 13 1% 15 1%
Stage 4 1 0% -* -
Total 1,531 100% 2,468 100%
Note: The 2011 figures use 2012 data to include all gains and losses over the entire year.
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.
*ReferenceUSA indicates one Stage 4 firm in 2011, whereas NETS does not show a
Stage 4 firm. Additional information is available on the next slide.

16. 16
Top five employers in 2015
Economy
Source: ReferenceUSA (Infogroup) and
Daviess County Economic Development Corporation
section 03
Establishment Stage
1. DaviessCommunity Hospital Stage 4
2. Perdue Farms, Inc. Stage 4
3. Boyd & Sons, Inc. Stage 3
4. Walmart Supercenter Stage 3
5. Grain Processing Corporation Stage 3
The top five employers produce a mix of
local, regional, and national goods and
services.
DaviessCommunity Hospital inWashington is
the largest establishment-level employer in
DaviessCounty.
DaviessCommunity Hospital andWalmart
provide primarily local and regional services,
while Perdue Farms, Boyd & Sons, andGrain
Processing Corporation are regional and
national businesses.
Information on the top five establishments by employment comes from ReferenceUSA. ReferenceUSA is a library database service provided
by Infogroup, the company that also supplies the list of major employers for Hoosiers by the Numbers. While both NETS and ReferenceUSA
contain establishments, differences in data collection processes result in discrepancies between the two sources. We use NETS for a broad
picture of establishments in the county, while ReferenceUSA is used for studying individual establishments.
Note: URS Corporation, a Stage 3 establishment formerly known as EG&G Technical
Services, is part of the WestGate @ Crane Technology Park. Because the facility is located
just inside Daviess County and is associated with the NSWC – Crane Division, which is
primarilylocated in Martin County, URS Corporation was omitted from the list of top employers.

17. 17
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 0 439 4% 826 6%
Stage 1 3,130 25% 4,241 32%
Stage 2 5,646 46% 5,639 43%
Stage 3 2,161 17% 2,469 19%
Stage 4 1,000 8% - -
Total 12,376 100% 13,175 100%
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

18. 18
Amount of sales (2011 dollars) by
stage/employment category
Economy
Source: National Establishment Time Series (NETS) – 2012 Database
section 03
2000 2011
Stage Sales Proportion Sales Proportion
Stage 0 $52,290,763 3% $57,071,566 5%
Stage 1 $365,497,237 24% $350,145,358 30%
Stage 2 $693,694,925 46% $538,917,093 46%
Stage 3 $275,071,976 18% $230,540,925 19%
Stage 4 $141,141,717 9% - -
Total $1,527,696,619 100% $1,176,674,942 100%
Note: The 2011 figures use 2012 data to include all gains and losses over the entire year.

19. 19
Manufacturing
13.6%
Construction
11.8%
Government
11.6%
Retail Trade
10.8%
Health Care &
Social Assistance
7.3%
All Other
Industries
44.9%
Top five industries in 2013
55.1 percent of jobs are tied to
one of the top five industries in
Daviess County.
Manufacturing is the largest industry
sector (2,225 jobs). Health Care & Social
Assistance is the smallest of the top
industry sectors with 1,197 jobs.
All of the top five industries in Daviess
County gained jobs between 2002 and
2013. Of these, Construction gained the
largest proportion (+36.3 percent),
followed by Health Care & Social
Assistance (+10.5 percent).
Manufacturing experienced the smallest
increase, with a 1.2 percent gain in jobs
over the time period.
Economy
Source: Economic Modeling Specialists International (EMSI) – 2014.3 – QCEW Employees, Non-QCEW Employees, Self-Employed, and Extended Proprietors
section 03

20. 20
Industry distribution and change
NAICS
Code
Description
Jobs
2002
Jobs
2013
Change
(2002-2013)
% Change
(2002-2013)
Average Total
Earnings
2013
11 Agriculture, Forestry, Fishing & Hunting 1,279 950 -329 -26% $33,096
21 Mining, Quarrying, & Oil & Gas Extraction 535 623 88 16% $36,830
22 Utilities 56 42 -14 -25% $83,542
23 Construction 1,415 1,929 514 36% $41,931
31-33 Manufacturing 2,198 2,225 27 1% $41,579
42 Wholesale Trade 458 410 -48 -10% $52,332
44-45 Retail Trade 1,673 1,766 93 6% $31,067
48-49 Transportation & Warehousing 835 1,057 222 27% $37,747
51 Information 138 91 -47 -34% $42,424
52 Finance & Insurance 402 489 87 22% $42,248
53 Real Estate & Rental & Leasing 292 440 148 51% $22,212
54 Professional, Scientific & Technical Services 316 470 154 49% $48,503
55 Management of Companies and Enterprises <10 19 - - $84,274
56 Administrative & Waste Management 253 539 286 113% $13,349
61 Educational Services (Private) 247 133 -114 -46% $18,888
62 Health Care & Social Assistance 1,083 1,197 114 11% $32,274
71 Arts, Entertainment & Recreation 65 126 61 94% $9,562
72 Accommodation and Food Services 814 881 67 8% $12,504
81 Other Services (except Public Administration) 923 1,055 132 14% $19,048
90 Government 1,786 1,888 102 6% $48,167
99 Unclassified Industry 0 0 0 0% $0
All Total 14,769 16,331 1,562 11% $35,394
Economy
Source: Economic Modeling Specialists International (EMSI) – 2014.3 – QCEW Employees, Non-QCEW Employees, Self-Employed, and Extended Proprietors
section 03Note: Average total earnings include wages, salaries, supplements and earnings from
Industries and occupations with a value of <10 have insufficient data for change and earnings calculations.

21. 21
Industry distribution and change
The largest percentage gains in
employment in Daviess County
occurred in:
 Administrative andWaste
Management Services (+113.0
percent)
 Arts, Entertainment, and Recreation
(+93.8 percent)
The largest percentage losses in
employment occurred in:
 Educational Services, private (-46.2
percent)
 Information (-34.1 percent)
Economy
Source: Economic Modeling Specialists International (EMSI) – 2014.3 – QCEW Employees, Non-QCEW Employees, Self-Employed, and Extended Proprietors
section 03
Employment Increase Employment Decrease
Industries with the largest gains and losses
in employment numbers between 2002 &
2013:
Construction
(+514)
Administrative &
Waste Management
(+286)
Transportation &
Warehousing
(+222)
Agriculture &
Forestry
(-329)
Educational Services
(-114)

22. 22
Sales & Related
11.3%
Transportation &
Material Moving
10.8%
Management
10.3%
Construction &
Extraction
10.1%
Production
9.9%
All Other
Occupations
47.7%
Top five occupations in 2013
The top five occupations in
Daviess County represent 52.3
percent of all jobs.
Sales & Related (1,838 jobs) is the top
occupation classification in DaviessCounty,
followed byTransportation and Material
Moving (1,769 jobs). Production, the fifth
largest occupation in the county, employs
over 1,600 individuals.
All five top occupations in DaviessCounty,
except Management (-3.4 percent), had an
increase in jobs between 2002 and 2013.
Construction & Extraction occupations
gained the largest proportion (+25.1
percent), while Production occupations
gained the least (+5.5 percent) over this
time period.
Economy
Source: Economic Modeling Specialists International (EMSI) – 2014.3 – QCEW Employees, Non-QCEW Employees, Self-Employed, and Extended Proprietors
section 03

23. 23
SOC Description
Jobs
2002
Jobs
2013
Change
(2002-2013)
% Change
(2002-2013)
Hourly
Earnings 2013
11 Management 1,739 1,675 -64 -4% $19.49
13 Business & Financial Operations 368 482 114 31% $23.58
15 Computer & Mathematical 74 83 9 12% $23.98
17 Architecture & Engineering 137 177 40 29% $28.99
19 Life, Physical & Social Science 52 61 9 17% $27.95
21 Community & Social Service 121 174 53 44% $16.03
23 Legal 41 43 2 5% $26.47
25 Education, Training & Library 668 572 -96 -14% $16.44
27 Arts, Design, Entertainment, Sports & Media 205 258 53 26% $16.66
29 Health Care Practitioners & Technical 610 767 157 26% $27.56
31 Health Care Support 345 397 52 15% $10.99
33 Protective Service 120 129 9 8% $17.10
35 Food Preparation & Serving Related 871 904 33 4% $8.72
37 Building & Grounds Cleaning Maintenance 445 638 193 43% $9.20
39 Personal Care & Service 576 563 -13 -2% $8.55
41 Sales & Related 1,616 1,838 222 14% $14.26
43 Office & Administrative Support 1,337 1,491 154 12% $13.74
45 Farming, Fishing & Forestry 170 141 -29 -17% $13.10
47 Construction & Extraction 1,321 1,653 332 25% $17.68
49 Installation, Maintenance & Repair 641 731 90 14% $16.79
51 Production 1,527 1,611 84 6% $13.54
53 Transportation & Material Moving 1,622 1,769 147 9% $13.93
55 Military 98 103 5 5% $18.46
99 Unclassified 66 70 4 6% $11.70
All Total 14,769 16,331 1,562 11% $15.67
Occupation distribution and change
Economy
Source: Economic Modeling Specialists International (EMSI) – 2014.3 – QCEW Employees, Non-QCEW Employees, Self-Employed, and Extended Proprietors
section 03
Note: Industries and occupations with a value of <10 have insufficient data for change and earnings calculations.

24. 24
Occupation distribution and change
Economy
Source: Economic Modeling Specialists International (EMSI) – 2014.3 – QCEW Employees, Non-QCEW Employees, Self-Employed, and Extended Proprietors
section 03
The largest percentage gains in
employment in Daviess County
occurred in:
 Community and Social Service (+43.8
percent)
 Building andGrounds Cleaning and
Maintenance (+43.4 percent)
The largest percentage loss in
employment occurred in:
 Farming, Fishing and Forestry
(-17.1 percent)
 Education,Training and Library
(-14.4 percent)
Occupations with the largest gains and
losses in employment numbers between
2002 & 2013:
Construction &
Extraction
(+332)
Sales & Related
(+222)
Education,Training
& Library
(-96)
Management
(-64)
Employment Increase Employment Decrease

25. 25
Income and poverty
2000 2006 2013
Total Population in
Poverty
12.4% 14.5% 13.9%
Minors (up to age 17)
in Poverty
19.6% 22.5% 23.5%
Real Median Household
Income (2013)*
$49,187 $44,854 $45,578
Real Per Capita Income
(2013)*
$31,490 $32,898 $37,261
The median household income
in Daviess County dipped by
$3,600 between 2000 and 2013
in real dollars (that is, adjusted
for inflation), while average
income per person rose by
$5,800 in real dollars over the
same time period.
The total population in poverty and
the number of minors in poverty
increased slightly between 2000 and
2013. However, the proportion of the
population in poverty was already
high, and, by 2013, nearly one in four
minors was living in poverty.
Economy
Source: U.S. Census Bureau – Small Area Income and Poverty Estimates (SAIPE) and U.S. Bureau of Economic Analysis – Regional Personal Income Summary
section 03
*Real median household income is the middle income value in the county. Half of the county’s households fall
above this line and half below. Real per capita personal income is the average income per person in the county.

26. 26
0
5
10
15
20
25
28,000
32,000
36,000
40,000
44,000
48,000
PopulationinPoverty(percent)
RealIncome(2013dollars)
Median Household
Income
Minors in Poverty
All Ages in Poverty
Per Capita
Income
Income and poverty
Median household income in Daviess County fluctuated between 2000 and 2009, but it is now
improving. Per capita income has been gradually increasing since 2002. Poverty rates for adults and
minors have stabilized over the past five years, although the rates remain relatively high for minors
under 18 years of age.
Economy
Source: U.S. Census Bureau – Small Area Income and Poverty Estimates (SAIPE) and U.S. Bureau of Economic Analysis – Regional Personal Income Summary
section 03

27. 27
Takeaways
Growth in the number of establishments in
Daviess County occurred mainly in businesses
having fewer than 10 employees (the self-
employed and Stage 1 enterprises),
components of the local economy that are
often overlooked by local leaders.
DaviessCounty might consider focusing on
economic development efforts that seek to
strengthen high-growth Stage 1 and 2
establishments, since they employ several people
and capture sizable sales, although these sales have
suffered in recent years.
Real median household income has gradually
decreased and poverty has increased in Daviess
County since 2000.While poverty rates for minors
and the overall population have stabilized since
2010, they remain higher than in 2000. In fact, a
sizable proportion of minors (one in four) were
living in poverty in 2013.
The fluctuation and gradual decline in real median
income experienced between 2000 and 2013 may be
tied to employment changes in various industries in
the county during that time period. Between 2002
and 2013, agriculture and education-related
industries and occupations in DaviessCounty
suffered declines, while jobs in construction and local
services increased. While growth was felt by both low
and high paying industries, positive shifts were
concentrated in lower paying occupations, primarily
among those paying less than $20 per hour.
No doubt, the ability of DaviessCounty to capture
high paying jobs will depend on the availability of a
well-trained and educated workforce, something
that may be challenging in light of the smaller
percentage of adults in the county with an
associate’s degree or higher. Ensuring that a skilled
workforce is available to support key industries in the
county will be important to the economic stability of
the county.
Economy
section 03

28. Labor force and
unemployment
Commuteshed
Laborshed
Workforce
inflow/outflow
Takeaways
04
labor
market

29. 29
Labor force and unemployment
2002 2013
Labor Force 14,072 14,985
Unemployment
Rate
4.3% 5.5%
The labor force in Daviess County
increased by 6.5 percent between 2002
and 2013.
On the other hand, the increase in the
unemployment rate 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 (2013 Annual Data Release)
section 04

30. 30
2.9%
4.3%
3.1%
6.2%
5.5%
0.0
1.0
2.0
3.0
4.0
5.0
6.0
7.0
UnemploymentRate(percent)
Unemployment rate
Unemployment increased dramatically after 2007, peaking at 6.2 percent in 2010. Since that
time, the rate has been on a slow but steady decline, dipping to 5.5 percent by 2013.
Labor market
Source: U.S. Bureau of Labor Statistics – Local Area Unemployment Statistics (2013 Annual Data Release)
section 04

31. 31
Commuteshed
A county’s commuteshed is the
geographic area to which its resident
labor force travels to work.
Forty-nine percent of employed residents in
DaviessCounty commute to jobs located
outside of the county. Knox County is the
biggest destination for residents who work
outside of DaviessCounty.
Twenty-one percent of out-commuters work
in counties adjacent to DaviessCounty.
However, the third, fourth and fifth largest
work destinations outside of Daviess County
are the Indianapolis (Marion County),
Evansville (VanderburghCounty), andTerre
Haute (Vigo County) metropolitan areas,
respectively.
Labor market
Source: U.S. Census Bureau – Longitudinal Employer-Household Dynamics (LEHD)
section 04
6,054
Out-Commuters
6,388
Same Work/
Home
Commuters Proportion
Knox, IN 935 7.5%
Dubois, IN 874 7.0%
Marion, IN 475 3.8%
Vanderburgh, IN 437 3.5%
Vigo, IN 431 3.5%

32. 32
Commuteshed in 2011
Labor market
section 04
Source: U.S. Census Bureau, OTM, LEHD, PCRD
Seventy percent of Daviess
County’s working residents are
employed either in Daviess,
Dubois, Knox or Marion Counties.
Another 5 percent commute to
Vanderburgh County. An
additional 5 percent travel to jobs
in Martin orVigo Counties.
Collectively, these seven counties
represent 80 percent of the
commuteshed for Daviess
County.

33. 33
Laborshed
Commuters Proportion
Martin, IN 636 5.7%
Knox, IN 631 5.7%
Greene, IN 270 2.4%
Pike, IN 255 2.3%
Dubois, IN 247 2.2%
Labor market
Source: U.S. Census Bureau – Longitudinal Employer-Household Dynamics (LEHD)
section 04
4,765
In-Commuters
6,388
Same Work/
Home
A county’s laborshed is the
geographic area from which it draws
employees.
Forty-two percent of individuals working in
DaviessCounty commute from another
county.
Eighteen percent of in-commuters reside
in counties adjacent to DaviessCounty, and
all five of the top counties in the laborshed
are adjacent counties. Of these counties,
Martin County is the largest source of labor
outside of DaviessCounty, while Dubois
County is the smallest.

34. 34
Laborshed in 2011
Labor market
section 04
Source: U.S. Census Bureau, OTM, LEHD, PCRD
The bulk (70 percent) of Daviess
County’s workforce is drawn
from Daviess, Knox or Martin
Counties in Indiana. Another 5
percent is drawn from Dubois,
Greene and Pike Counties.An
additional 5 percent reside in
Lawrence, Marion and
VanderburghCounties in Indiana.
Combined, the nine counties
represent 80 percent of Daviess
County’s laborshed.

35. 35
Workforce inflow and outflow in 2011
Labor market
section 04
Source: U.S. Census Bureau, OTM, LEHD, PCRD
Daviess County has more laborers
traveling out of the county for work than
into the county for work.
Net commuting is negative, with a loss of 1,289
commuters.The resulting situation is that for
every 100 employed residents, DaviessCounty
has 90 jobs.
Count
Proportio
n
Employed in Daviess
County
11,153 100%
Both employed and
living in the county
6,388 57%
Employed in the county
but living outside
4,765 43%
Living in Daviess
County
12,442 100%
Both living and
employed in the county
6,388 51%
Living in the county but
employed outside
6,054 49%
4,765 6,054
6,388

36. 36
Takeaways
The Great Recession that impacted the U.S.
economy between 2007 and 2009 took a toll on
the DaviessCounty unemployment rate. While the
rate was quite low in 2000, it more than doubled
to over 6 percent by 2010. Recent figures make
clear that the unemployment rate has improved
significantly since 2010.
Along with the increase in the population over the
past decade or more, the county’s labor force has
grown since 2002. Despite growth in the number
of residents employed or looking for a job, the
unemployment rate is also higher.This may be a
natural increase due to population growth. It is
also possible that an increasing number of
unemployed individuals who were discouraged
workers previously have reentered the labor
market and begun looking for a job.
Approximately one-half of DaviessCounty
residents in the workforce are gainfully employed
outside of the county.This represents a
tremendous loss of human talent that is
unavailable to contribute to the social and
economic vitality of the county. It may be
worthwhile for local leaders and industries to
determine the human capital attributes of
workers who commute to jobs outside the
county. By so doing, they could be positioned to
determine how best to reduce the leakage of
educated and skilled workers to surrounding
counties. Of course, this will require expansion in
the number of good paying jobs that will help
keep these workers in DaviessCounty.
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

37. 37
Notes
LAUS (Local Area Unemployment Statistics):
LAUS is a U.S. Bureau of Labor Statistics (BLS) program that
provides monthly and annual labor force, employment, and
unemployment data by place of residence at various geographic
levels. LAUS utilizes statistical models to estimate data values
based on household surveys and employer reports. These
estimates are updated annually. Annual county-level LAUS
estimates do not include seasonal adjustments.
LEHD (Longitudinal Employer-Household Dynamics):
LEHD is a partnership between U.S. Census Bureau and State
Department of Workforce Development (DWD) to provide labor
market and journey to work data at various geographic levels.
LEHD uses Unemployment Insurance earnings data and
Quarterly Census of Employment and Wages from DWDs and
census administrative records related to individuals and
businesses.
NETS (National EstablishmentTime Series):
NETS is an establishment-level database, not a company-level
database. This means that each entry is a different physical
location, and company-level information must be created by
adding the separate establishment components.
OTM (On the Map):
OTM, a product of LEHD program, is used in the county
snapshot report to develop commuting patterns for a
geography from two perspectives: place of residence and place
of work. At the highly detailed level of census blocks, some of
the data are synthetic to maintain confidentiality of the
worker. However, for larger regions mapped at the county
level, the commuteshed and laborshed data are fairly
reasonable.
OTM includes jobs for a worker employed in the reference as
well as previous quarter. Hence, job counts are based on two
consecutive quarters (six months) measured at the “beginning
of a quarter.” OTM data can differ from commuting patterns
developed from state annual income tax returns, which asks a
question about “county of residence” and “county of work” on
January 1 of the tax-year. OTM can also differ from American
Community Survey data, which is based on a sample survey of
the resident population.
SAIPE (SmallArea Income and Poverty Estimates):
SAIPE is a U.S. Census Bureau program that provides annual
data estimates of income and poverty statistics at various
geographic levels. The estimates are used in the administration
of federal and state assistance programs. SAIPE utilizes
statistical models to estimate data from sample surveys,
census enumerations, and administrative records.

38. 38
Report Contributors
This report was prepared by the Purdue Center for Regional Development in partnership with
Purdue University Extension.
Data Analysis
Indraneel Kumar, Ph.D.
Ayoung Kim
Report Authors
Elizabeth Dobis
Bo Beaulieu, Ph.D.
Report Design
Tyler Wright
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.

39. 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.
Please contact
Cindy Barber
Purdue Extension -- DaviessCounty
Associate Community Development
Educator
812-254-1060, extension 279
cabarber@purdue.edu
OR