1. DATA SNAPSHOT
Daviess County
Data SnapShot Series 1.1
August 2017

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

3. 01
Introduction
Purpose
About Daviess County

4. Introduction
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.
section 01

5. Micropolitan Statistical Area
Introduction
About Daviess County
County Background
Established
1818
County
Seat
Washington
Area
sq. mi
Neighboring
Counties
Dubois, IN
Greene, IN
Knox, IN
Martin, IN
Pike, IN.
Metropolitan Classification
Micropolitan Statistical Area
section 01

6. 02 Demography Population change Population pyramids Race Ethnicity
Educational attainment
Takeaways 02
Demography

7. Population change Demography
Daviess County’s total population increased by more than 10 percent between 2000 and 2015, adding more than 3,000 individuals. The population increased by more than 6 percent from 2000 to 2010 and grew by about 4 percent from 2010 to 2015.
Natural Increase (births minus deaths) contributed over 3,100 to growth of the population over the 15-year period. International migration also added 641 individuals. But, Daviess County lost nearly 1,180 individuals as a result of domestic migration, meaning that more individuals migrated out of Daviess to other parts of Indiana and the U.S. than moved into the county over the period.
Components of Population Change,
Natural Increase
3,136
International Migration
641
Domestic Migration
-1,175
section 02
Table names: CO_EST-2010_ALLDATA, and CO_EST-2015_ALLDATA
*Total change in population differs from the sum of the components due to Census estimation techniques. Residuals (not reported here) make up the difference.
Sources: STATSIndiana, U.S. Census Bureau – 2000 Decennial Census, 2010 Decennial Census, 2015 Estimates, Estimates of the Components of Resident Population Change

8. Migration in Daviess, 2000-2015 Demography
Outflow of population outpaced the inflow as people are moving out from Daviess County to other counties located within and outside of Indiana.
Inflow
Outflow
Net Change
Migration
(same State)*
9,125
9,641
- 516
(different State)
4,060
4,137
- 77
*Migration movement within Indiana or to different states is a sum of year-by-year movements from 2000 to Similar to the Census Bureau’s estimates for domestic migration, the IRS migration data (the data being used in this report) showed overall a net loss from Daviess County. The IRS migration database does not capture the entire moving population since not all households file their tax returns on a given year and some households ask for extension. However, these are the only sources of data on migration that contain information on the origins and destinations of the migrating households. IRS data may not match with the census estimates, as it is one of the components of the domestic migration. The other components are changes in Medicare enrollment and the Group Quarter population.
section 02
Source IRS U.S. Migration Database.

9. Demography
Population pyramids Population pyramids are visual representations of the age distribution of the population by gender.
2000
2015
Male
Female
The proportion of males and females in Daviess County changed slightly between 2000 and Females made up nearly 51 percent of the population in 2000 (with 15,115 individuals). In 2015, their number increased to 16,457 individuals, but the share dropped to 50 percent. What changed was the distribution of people in different age categories. For example, the proportion of individuals 50 years of age or older expanded from around 30 to 33 percent from 2000 to 2015.
Moreover, the percentage of people of prime working age – those between years of age -- experienced a downturn from 39 percent to nearly 35 percent over the time period. The other age groups experienced a slight change in Daviess County. The percentage of people under 20 years old fell from 16 to 15 percent while individuals under 10 years old (age 0-9) expanded from nearly 16 to 17 percent between 2000 and 2015.
section 02
Table names: Census 2000 SF1 QTP1, PEP2015 PEPAGESEX
Source: U.S. Census Bureau – 2000 Decennial Census and 2015 Annual Population Estimates

10. Demography
Race
2000
The proportion of White residents in Daviess County decreased by 1 percentage point -- from 97.5 percent to percent between 2000 and 2015.
Races other than White had a corresponding increase from 2.5 percent to 3.5 percent in the county. Every race experienced a numerical increase except Two or More Races. The number of Blacks or African Americans increased by 283 individuals and their percentage increased from 0.45 percent to percent during the 15-year period.
The population of Asians grew with 170 more individuals in the county. In addition, the Native population increased by 96 individuals, whereas, Two or More Races declined by individuals from 2000 to 2015.
2015
Note: Natives are comprised of American Indian and Alaska Native, and Native Hawaiian and Other Pacific Islander.
section 02
Table names: Census 2000 SF1 P008, PEP2015 PEPSR6H
Race Data Source: U.S. Census Bureau – 2000 Decennial Census and 2015 Annual Population Estimates

11. Demography
Ethnicity
Hispanic
Hispanics are individuals of any race whose ancestry are 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 This figure significantly increased to 1,528 by
What this means is that the Hispanic population grew by 146 percent between 2000 and Hispanics now represent 4.6 percent of Daviess County's population in 2015, a figure that is lower than Indiana’s state average of 6.6 percent.
Hispanic
section 02
Table names: Census 2000 SF1 P008, PEP2015 PEPSR6H
Source: U.S. Census Bureau – 2000 Decennial Census and 2015 Annual Population Estimates

12. Educational attainment
Demography
Educational attainment
2000
The share of higher educated adult population (25+ years old, bachelor’s or higher degree) in Daviess County increased by 4 percentage points from 2000 to 2015.
The proportion of adults 25+ years of age with less than a high school education decreased by 3 percentage points over this period. There were 5,261 adult individuals who did not have a high school degree in 2000 and in 2015, this number dropped to 5,056.
The percentage of adults with an associate’s degree increased by 2 percent points, while the proportion of adults with some college education did not change over the two time periods. As for those with a high school degree only, the percentage of adults with this level of education fell by 3 percentage points between and 2015,.
2015
section 02
Table names: Census 2000 SF4 QTP20, ACS 2015 S1501
Source: U.S. Census Bureau – 2000 Decennial Census and 2015 ACS

13. Demography
Takeaways
Though the racial and ethnic diversity of Daviess County has marginally increased 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 (37percent) or less (25 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 nearly one in four adult residents of the county have an associate’s, bachelor’s, or higher degree, this figure is about 10 percentage points 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 valuable investment.
The population of Daviess County is expected to increase by 3.6 percent between 2015 and And, if past trends hold, that increase will be largely due to natural increase (more births than deaths).
The population in Daviess County has slowly been aging, The number of residents 50 years of age or older increased by nearly 3 percentage points between 2000 and 2015, while the number of men and women of prime working age (20 to 49 years) decreased by nearly 4 percentage points.
In fact, the county witnessed a significant loss of residents in the 40 to 49 years old age group between 2000 and 2015, possibly due to domestic out-migration (people moving out of the county to other Indiana and U.S. locations) and by the fact that some residents have now moved to an older age category.
section 02

14. 03 Economy Establishments Industries Occupations Income and poverty
Takeaways 03
Economy

15. Components of changes in jobs
Economy
Components of changes in jobs
How to Interpret the Accompanying Table
New Start-ups: A completely new business from births/openings without any affiliation to an existing business.
Spin-offs: New businesses that were spun off from existing businesses.
Expansions: Existing businesses that have expanded in jobs.
In-migration: Businesses that have moved-in from outside of the county.
Closings: Closure of existing businesses.
Contractions: Existing businesses that have shed/reduced jobs.
Out-migration: Businesses that have moved- out from the county.
Changes in Jobs ( )
Gained by
New Start-ups
13,156
Spin-offs
990
Expansion
6,170
In-migration
770
Lost by
Closings
11,623
Contractions
4,313
Out-migration
411
Net change
4,739
section 03
Source: YourEconomy.org

16. Establishment Distribution by Stages
Economy
Company stages
An establishment is a physical business location. Branches, standalones and headquarters are all considered types of establishments.
Definition of Company Stages
Self-employed
2-9 employees 3
10-99
employees
employees 4
500+
employees
Establishment Distribution by Stages
Indiana, 2015
section 03
Note: Based on Edward Lowe’s research,
Source: Pyramid graphics is courtesy of Nancy Duarte,
Source: YourEconomy.org

17. Number of establishments by stage/employment category
Economy
Number of establishments by stage/employment category
2001
2015
Stage
Establishments
Proportion
Stage 0
192
17.3%
280
15.0%
Stage 1
683
61.5%
1,279
68.4%
Stage 2
223
20.1%
289
15.5%
Stage 3 12
1.1% 19
1.0%
Stage 4 1
0.1% 2
Total
1,111
100%
1,869
section 03
Source: YourEconomy.org

18. Number of jobs by stage/employment category
Economy
Number of jobs by stage/employment category
2001
2015
Stage
Jobs
Proportion
Stage 0
192
1.7%
284
1.8%
Stage 1
2,609
22.7%
5,051
31.1%
Stage 2
5,707
49.6%
6,298
38.8%
Stage 3
1,913
16.6%
2,538
15.6%
Stage 4
1085
9.4%
2,050
12.6%
Total
11,506
100.0%
16,221
section 03
*Includes both full-time and part-time jobs
Source: YourEconomy.org

19. Amount of sales (2013 dollars) by stage/employment category
Economy
Amount of sales (2013 dollars) by stage/employment category
($Million, 2013)
2001
2015
Stage
Sales
% change
Stage 0
46.6
59.1
27%
Stage 1
747.9
1,277.8
71%
Stage 2
1,578.5
1,474.3
-7%
Stage 3
941.7
581.6
-38%
Stage 4
265.4
233.8
-12%
Total
3,580.1
3,626.6 1%
section 03
Source: YourEconomy.org

20. Economy
Top five industries in 2015
Fifty-seven percent of jobs are tied to one of the top five industries in Daviess County.
Manufacturing is the largest industry sector in Daviess County, providing 2,463 jobs and accounts for percent of all jobs in Construction sector provides 2,041 jobs, followed by Government as the 3rd largest industry in the county, accounting for 11.2 percent of the total jobs (with 1,894 jobs). Retail Trade, together with Crop and Animal Production, completed the top five industries, representing 11.1 percent and 7.8 percent of all jobs, respectively. Together, the top five industries provided 9,608 jobs for the county.
All five industry sectors gained jobs between 2003 and Among them, Construction generated 55 percent more jobs in 2015 while Retail Trade sector provided 21 percent more jobs.
section 03
Source: Economic Modeling Specialists International (EMSI) – – QCEW Employees, Non-QCEW Employees, Self-Employed, and Extended Proprietors

21. Industry distribution and change
Economy
Industry distribution and change
NAICS Code
Description
Jobs 2003
Jobs 2015
Change ( )
% Change ( )
Average Total Earnings 2015 11
Crop and Animal Production
1,173
1,324
151
12.9%
$35,935 21
Mining, Quarrying, and Oil and Gas Extraction
528
443
-85
-16.1%
$36,339 22
Utilities 55 45
-10
-18.2%
$84,348 23
Construction
1,320
2,041
721
54.6%
$39,059 31
Manufacturing
2,132
2,463
331
15.5%
$42,551 42
Wholesale Trade
525
504
-21
-4.0%
$55,770 44
Retail Trade
1,554
1,886
332
21.4%
$27,085 48
Transportation and Warehousing
741
983
242
32.7%
$40,079 51
Information
140
107
-33
-23.6%
$41,600 52
Finance and Insurance
338
413 75
22.2%
$43,844 53
Real Estate and Rental and Leasing
214
451
237
110.7%
$34,096 54
Professional, Scientific, and Technical Services
259
548
289
111.6%
$41,546
Management of Companies and Enterprises
Insf. Data
$99,638 56
Administrative and Support and Waste Management and Remediation Services
262
450
188
71.8%
$19,148 61
Educational Services
197
149
-48
-24.4%
$19,046 62
Health Care and Social Assistance
1,049
1,162
113
10.8%
$32,924 71
Arts, Entertainment, and Recreation 97
132 35
36.1%
$11,874 72
Accommodation and Food Services
880
861
-19
-2.2%
$13,367 81
Other Services (except Public Administration)
892
1,090
198
$20,317 90
Government
1,820
1,894 74
4.1%
$49,393
All
Total
14,176
16,969
2,793
19.7%
$36,072
section 03
Note: Average total earnings include wages, salaries, supplements and earnings from investments and proprietorships.
Source: Economic Modeling Specialists International (EMSI) – – QCEW Employees, Non-QCEW Employees, Self-Employed, and Extended Proprietors

22. Industry distribution and change
Economy
Industry distribution and change
The largest percentage gains in employment in Daviess County occurred in:
Professional, Scientific, and Technical Services (+112 percent)
Real Estate and Rental and Leasing (+111 percent)
Administrative and Support and Waste Management and Remediation
(+72 percent)
The largest percentage losses in employment occurred in:
Educational Services (- 24 percent)
Information (-24 percent)
Employment Increase
Employment Decrease
Industries with the largest gains and losses in employment numbers between 2003 & 2015:
Construction (+721)
Retail trade (+332)
Mining, Quarrying, and Oil and Gas Extraction (-85)
Educational Services (-48)
section 03
Source: Economic Modeling Specialists International (EMSI) – – QCEW Employees, Non-QCEW Employees, Self-Employed, and Extended Proprietors

23. Top five occupations in 2015
Economy
Top five occupations in 2015
The top five occupations in Daviess County represent 53 percent of all jobs.
The top occupation in Daviess County is Management Occupations, which employs 2,024 individuals, or 12 percent of all jobs. Sales and Related Occupations rank second, providing 1,886 jobs. Production Occupations, Transportation and Material Moving Occupations, Construction and Extraction Occupations complete the top five occupations in Daviess County. Together the five groups support 9,016 jobs as of 2015.
All five top occupations gained jobs between and Among them, Construction and Extraction Occupations had the greatest gains, with jobs expanding by 37 percent.
section 03
Source: Economic Modeling Specialists International (EMSI) – – QCEW Employees, Non-QCEW Employees, Self-Employed, and Extended Proprietors

24. Occupation distribution and change
Economy
Occupation distribution and change
SOC
Description
Jobs 2003
Jobs 2015
Change ( )
% Change ( )
Average Hourly Earnings 2015 11
Management Occupations
1,627
2,024
397
24.4%
$19.7 13
Business and Financial Operations Occupations
365
473
108
29.6%
$25.6 15
Computer and Mathematical Occupations 71 99 28
39.4%
$26.5 17
Architecture and Engineering Occupations
132
203
53.8%
$32.3 19
Life, Physical, and Social Science Occupations 61 66 5
8.2%
$25.8 21
Community and Social Service Occupations
158
191 33
20.9%
$17.5 23
Legal Occupations 39 45 6
15.4%
$28.7 25
Education, Training, and Library Occupations
645
583
-62
-9.6%
$18.4 27
Arts, Design, Entertainment, Sports, and Media Occupations
227
307 80
35.2%
$14.0 29
Healthcare Practitioners and Technical Occupations
581
721
140
24.1%
$26.9 31
Healthcare Support Occupations
319
406 87
27.3%
$12.6
Protective Service Occupations
141
150 9
6.4%
$18.6 35
Food Preparation and Serving Related Occupations
926
889
-37
-4.0%
$9.4 37
Building and Grounds Cleaning and Maintenance Occupations
484
603
119
24.6%
$10.3
Personal Care and Service Occupations
524 59
11.3%
$10.8 41
Sales and Related Occupations
1,435
1,886
451
31.4%
$15.1 43
Office and Administrative Support Occupations
1,360
1,541
181
13.3%
$14.1
Farming, Fishing, and Forestry Occupations
167
210
25.7%
$14.9 47
Construction and Extraction Occupations
1,173
1,603
430
36.7%
$16.7 49
Installation, Maintenance, and Repair Occupations
650
752
102
15.7%
$17.9 51
Production Occupations
1,547
1,845
298
19.3% 53
Transportation and Material Moving Occupations
1,437
1,658
221
$14.7 55
Military occupations
100 -2
-2.0%
$13.5
All
Total
14,176
16,969
2,793
19.7%
$16.4
*Management occupations include farm managers, so changes in jobs may be related to changes in the number of farm proprietorships.
section 03
Source: Economic Modeling Specialists International (EMSI) – – QCEW Employees, Non-QCEW Employees, Self-Employed, and Extended Proprietors

25. Occupation distribution and change
Economy
Occupation distribution and change
The largest percentage gains in employment in Daviess County occurred in:
Architecture and Engineering Occupations (+54 percent)
Computer and Mathematical Occupations (+39 percent)
The largest percentage losses in employment occurred in:
Education, Training, and Library Occupations (-10 percent)
Food Preparation and Serving Related Occupations (-4 percent)
Occupations with the largest gains and losses in employment numbers between 2003 & 2015:
Sales and Related Occupations
(+451)
Construction and Extraction Occupations
(+430)
Education, Training, and Library Occupations
(-62)
Food Preparation and Serving
Related Occupations
(-37)
Employment Increase
Employment Decrease
section 03
Source: Economic Modeling Specialists International (EMSI) – – QCEW Employees, Non-QCEW Employees, Self-Employed, and Extended Proprietors

26. Income and poverty Economy 2001 2008 2015
2001
2008
2015
Total Population in Poverty
12.2%
14.6%
Minors (Under Age 18)
in Poverty
18.9%
23.4%
21.9%
Real Median Household Income (2013)*
$43,627
$46,804
$45,381
Real Per Capita Income (2013)*
$30,686
$34,975
$36,837
The real per capita income (that is, adjusted for inflation) in Daviess County experienced a dramatic increase between 2001 and 2015, expanding by $6,150. Real median household income also increased by $1,754 over the same period.
The total population in poverty increased by 2.4 percentage points from 12.2 percent to 14.6 percent -- between 2001 and Child poverty expanded by around 3 percentage points during this same period, approaching the 22 percent level in 2015.
*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.
section 03
Source: U.S. Census Bureau – Small Area Income and Poverty Estimates (SAIPE) and U.S. Bureau of Economic Analysis – Regional Personal Income Summary

27. Income and poverty Economy
Median household income in Daviess County fluctuated between 2000 and 2009 but remains about the same level it was in Per capita income has been gradually increasing since 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.
Per capita income
section 03
Source: U.S. Census Bureau – Small Area Income and Poverty Estimates (SAIPE) and U.S. Bureau of Economic Analysis – Regional Personal Income Summary

28. Economy
Among the top five industries, Construction and Retail Trade have been significant sectors in the county, as they both offered a large number of jobs (around 2,000 jobs each in 2015) and had large employment gains (producing 55 percent and 21 percent more jobs from 2003 to 2015, respectively). Moreover, all of the good paying occupations (more than $20 median hourly earnings) experienced jobs growth from 2003 to Manufacturing is the largest industry providing nearly 2,500 jobs in 2015, which also experienced a job growth of 16 percent. It is important to retain and expand the growth of these industries to maintain the long-term economic strength of the county. In terms of income and poverty, the real median household income has been fairly stable with small growth and declines between 2001 and Per capita income, on the other hand, grew by more than $6,000 during this same period, In many respects, Daviess County has made major gains on the economic development front. As it seeks to continue to grow its economy, it will be important to find ways to reduce the high rate of child poverty in the county, a problem that could affect the long-term vitality of the county.
Takeaways
Daviess County experienced a healthy increase in the number of establishments and jobs associated with Stage 1 firms (2-9 employees), components of the local economy that can often be overlooked by local leaders.
Stage 1 firms (2-9 employees) have established more establishments between 2001 and , accounting for more than 68 percent of all firms in In terms of jobs, all Stage 0 to 4 firms increased jobs by 2015 compared to 2001, with Stage 1 firms generating the largest increase in jobs (+ 2,442) followed by Stage 4 firms ( employees) creating 965 more jobs. Sales by Stage 1 establishments increased by 71 percent -- the largest growth among all stages of firms.
Daviess County might consider focusing on economic development efforts that seek to strengthen fast growing Stage 1 establishments since they play an important role in employing workers and capturing sizable sales.
section 03

29. 04 Labor market Labor force and unemployment Commuteshed Laborshed
Workforce inflow/outflow
Takeaways 04
Labor
market

30. Labor force and unemployment
Labor market
Labor force and unemployment
The number of individuals in the labor force in Daviess County has increased between 2003 and 2015.
The number of individuals in the county’s labor force increased by 1,359 individuals between 2003 and Among all the individuals in the labor force, 96.2 percent were employed in 2015, slightly higher than the 95.9 percent gainfully employed in As such, the official unemployment in 2015 stood at 3.8 percent.
2003
2015
Labor Force
14,358
15,717
Unemployment Rate
4.1%
3.8%
section 04
Source: U.S. Bureau of Labor Statistics – Local Area Unemployment Statistics (2003&2015 Annual Data Release)

31. Labor market
Unemployment rate The unemployment rate increased significantly during the period of the Great Recession, peaking at 6.5 percent by Since that time, the rate has been on a steady decline, dropping to 3.8 percent by 2015.
section 04
Source: U.S. Bureau of Labor Statistics – Local Area Unemployment Statistics ( Annual Data Release)

32. Workforce inflow and outflow in 2014
Labor market
Workforce inflow and outflow in 2014
Daviess County has more workers commuting out from the county than commuting into the county for work.
For the county, net commuting is negative with a deficit of commuters, indicating that Daviess County is not serving as a job center for the region. For every employed residents, Daviess has only 85 jobs.
Count
Proportion
Employed in Daviess County
11,527
100%
Both employed and living in the county
6,853
59.5%
Employed in the county but living outside
4,674
40.5%
Living in Daviess County
13,508
Both living and employed in the county
50.7%
Living in the county but employed outside
6,655
49.3%
section 04
Source: OTM

33. Commuteshed Labor market
Out-Commuters
Same Work/Home
6,655
6,853
A county’s commuteshed is the geographic area to which its resident labor force travels to work.
More than 49 percent of employed residents in Daviess County commute to jobs located outside of the county. Knox County, Indiana, is the destination that has the most commuters from Daviess County, accounting for 6.7 percent of total employed residents of Daviess County. Dubois County, Indiana, follows as the second largest destination, accounting for 6.1 percent of the total employed residents of Daviess County.
Nearly 19 percent of commuters work in counties adjacent to Daviess County.
Commuters
Proportion
Knox County, IN
905
6.7%
Dubois County, IN
830
6.1%
Marion County, IN
550
4.1%
Vigo County, IN
428
3.2%
Martin County, IN
426
section 04
Source: OTM

34. Commuteshed in 2014 Labor market
Around 70 percent of Daviess County’s working residents are employed in Knox, Daviess, Dubois, Marion and Vigo Counties in Indiana. Another 10 percent of workers commute to Martin, Vanderburgh and Gibson Counties in Indiana. Furthermore, another 5 percent commute to Monroe, Pike, Lawrence, Sullivan Counties in Indiana.
Collectively, these 12 counties represent about 85 percent of Daviess County’s commuteshed.
section 04
Source: U.S. OTM

35. Laborshed 6,853 4,674 Labor market Same Work/Home In-Commuters
A county’s laborshed is the geographic area from which it draws employees.
More than 40 percent of individuals working in Daviess County commute from another county. Knox County, Indiana, is the largest source of workers, contributing 5.4 percent of Daviess County’s labor force. Martin, Pike, Dubois and Greene Counties in Indiana complete the top five sources of outside workers in Daviess County.
It is worth noting that all of the top five counties in the laborshed are adjacent counties to Daviess County. Altogether. these neighboring counties contribute percent of the workforce in Daviess County.
6,853
4,674
Commuters
Proportion
Knox County, IN
617
5.4%
Martin County, IN
613
5.3%
Pike County, IN
270
2.3%
Dubois County, IN
253
2.2%
Greene County, IN
247
2.1%
section 04
Source: OTM

36. Laborshed in 2014 Labor market
Roughly 70 percent of Daviess County’s workforce is drawn from Daviess, Knox and Martin Counties in Indiana. Another 10 percent are drawn from Pike, Dubois, Greene, Posey and Gibson Counties in Indiana. An additional 5 percent commute from Lawrence, Marion, Spencer, Monroe and Warrick Counties in Indiana.
Combined, the 13 counties represent 85 percent of Daviess County’s laborshed.
section 04
Source: OTM

37. Takeaways Labor market
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 their home county.
It would also be beneficial to identify the factors that are contributing to the attraction of residents from other counties to jobs inside the county. The commuteshed and laborshed data make clear that the Daviess County is economically connected to its neighboring counties. So, it will be important for the county to continue focusing on ways to strengthen regional cooperation with its surrounding counties. By working together, they could find ways to pursue a more integrated workforce and economic development plan, one that can help advance the long-term health of the region.
The unemployment rate in Daviess County remained at a rather moderate level, even during the Great Recession that took place in the U.S. over the period of 2007 to At its peak, Daviess County experienced an unemployment rate of 6.5 percent in 2010, much lower than the rate found in the state of Indiana during the recession (around 10 percent), suggesting that the local economy in Daviess County was more resilient during this period. Moreover, there was an expansion of its labor force, which in part, could be a result of increase in the population. In 2003, there are 14,358 individuals in the local labor force, and the number increased to 15, by 2015.
More than 49 percent -- nearly half of Daviess County residents in the workforce -- are gainfully employed outside of the county. This represents a sizable loss of talent that is unavailable to contribute to the social and economic vitality of the county.

38. Notes LAUS (Local Area Unemployment Statistics): OTM (On the Map):
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.
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 commuter shed and labor shed 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.
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.
SAIPE (Small Area 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.
YourEconomy.org (YE):
YE, an online tool by the Business Dynamics Research Consortium at the University of Wisconsin – Extension, provides data on the employment, sales, and number of establishments at numerous geographic levels in the United States.
A major data source for YE is the Infogroup Historical Database and additional Infogroup data files on establishments. This means that each entry is a different physical location, and company-level information must be created by adding the separate establishment components.
EMSI (Economic Modeling Specialists International):
The jobs, earnings and labor market data for Industries and occupations are obtained from EMSI. It provides unsuppressed data at North American Industry Classification System (NAICS) 6-digit and Standard Occupation Classification (SOC) at 5-digit level for every county in the U.S.

39. Purdue University is an equal access/equal opportunity institution.
Report Contributors This report was prepared by the Purdue Center for Regional Development in partnership with Purdue University Extension.
Report Authors
Bo Beaulieu, Ph.D.
Chun Song
Indraneel Kumar, Ph.D.
Data Analysis
Chun Song
Andrey Zhalnin, Ph.D.
Indraneel Kumar, Ph.D.
Report Design
Tyler Wright
Purdue University is an equal access/equal opportunity institution.

40. FOR MORE INFORMATION
Please contact
PCRD
The Schowe House
1341 Northwestern Avenue
West Lafayette, IN 47906
Purdue University
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.
Purdue Center for Regional Development (PCRD) seeks to pioneer new ideas and strategies that contribute to regional collaboration, innovation and prosperity.