using lehd data to advance economic development in the …lehd.ces.census.gov/doc/vibrant pittsburgh...
TRANSCRIPT
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Using LEHD data to advance economic development in the Pittsburgh region
Melanie Harrington, President and CEO
Elissa Waldmuller, Research Analyst
Vibrant Pittsburgh
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Who we are Vibrant Pittsburgh works to grow a talented and diverse
workforce for the region, by attracting, retaining, elevating and educating people of all backgrounds.
Vibrant Pittsburgh is focused on working collaboratively with private and public sector leadership to strengthen the region’s economic future by growing and retaining a diverse workforce and fostering a more inclusive and welcoming community.
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Background
2015 Report by the Pittsburgh Workforce Diversity Indicators Initiative Vibrant Pittsburgh, Pittsburgh Today Three Rivers Workforce Investment Board Allegheny Conference on Community
Development University of Pittsburgh Center on Race and Social
Problems University of Pittsburgh University Center for
Social and Urban Research First round analysis focused on job sector
employment, worker income, and workforce participation
Local data was benchmarked against 14 peer regions
Data was drawn from the 2013 LEHD program’s Quarterly Workforce Indicators
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Purpose
Behind the Times: The Limited Role of Minorities in the Greater Pittsburgh Workforce is based on an analysis of workforce-related data collected by the Pittsburgh Regional Workforce Diversity Indicators Initiative.
To track and report regional workforce comparative data that are designed to bring greater resources and more constructive solutions to the goal of growing and diversifying the Pittsburgh region’s workforce and population.
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Minority Workers’ Share of Pittsburgh Region Jobs
Percentage of Jobs in the Pittsburgh Labor Market Held by Minority Workers
11.1%
88.9%
Pittsburgh
0% 50% 100%
Percentage of White Non-Hispanic Workers
Percentage of Minority Workers
Overall Share of Jobs in the Pittsburgh Labor Market Held by Minority Workers by Racial and Ethnic Subgroups
0.8%
1.6%
1.7%
7.1%
88.9%
0% 50% 100%
Pittsburgh
White Non-Hispanic African American/BlackHispanic/Latino Asian
DATA SOURCE: U.S. Census Bureau, Longitudinal Employer-Household Dynamics data
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Percentage of Overall Share of Jobs Held by Racial/Ethnic Minority Workers by Peer Region in 2013
11.1% 16.3% 16.6%
19.3% 20.5% 21.2% 21.5% 22.3%
24.4% 25.2% 26.5%
28.2% 32.2%
36.1% 36.8%
44.3%
0% 10% 20% 30% 40% 50%
PittsburghCincinnati
MinneapolisIndianapolisKansas City
ClevelandMilwaukee
St. LouisDetroit
Benchmark AverageDenver
PhiladelphiaCharlotteRichmondBaltimore
Atlanta
DATA SOURCE: U.S. Census Bureau, Longitudinal Employer-Household Dynamics data
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Workforce participation by minority subgroups – peer regions By MSA, 2013
DATA SOURCE: U.S. Census Bureau, Longitudinal Employer-Household Dynamics data
7%
6%
12%
12%
12%
15%
11%
17%
16%
16%
5%
17%
22%
27%
26%
32%
2%
4%
2%
4%
5%
4%
7%
2%
3%
5%
16%
5%
6%
4%
5%
7%
2%
5%
2%
2%
2%
2%
3%
2%
3%
3%
3%
5%
3%
3%
5%
5%
1%
2%
1%
1%
2%
1%
1%
1%
1%
1%
2%
1%
1%
1%
1%
1%
0% 10% 20% 30% 40% 50%
PittsburghMinneapolis
CincinnatiIndianapolisKansas City
ClevelandMilwaukee
St. LouisDetroit
Benchmark AverageDenver
PhiladelphiaCharlotte
RichmondBaltimore
Atlanta
African American/Black Hispanic/Latino Asian Other
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Percentage of Jobs Held by Minority Workers by Industry in the Pittsburgh Labor Market in 2013
5.0% 5.5% 5.8% 6.3%
7.4% 7.7%
8.7% 9.1% 9.5% 9.8% 10.0% 10.2% 10.3% 10.6% 10.9% 11.1% 11.6% 11.6%
14.3% 16.4%
19.6%
0% 5% 10% 15% 20% 25%
ConstructionMining, Quarrying, Oil and Gas Extraction
Wholesale TradeAgriculture, Forestry, Fishing and Hunting
ManufacturingUtilities
Other ServicesProfessional, Scientific, and Technical Services
Arts, Entertainment, and RecreationReal Estate and Rental and Leasing
Retail TradeEducational Services
Management of Companies and EnterprisesPublic Administration
Transportation and WarehousingAll NAICS
Finance and InsuranceInformation
Health Care and Social AssistanceAccommodation and Food Services
Administrative and Support
DATA SOURCE: U.S. Census Bureau, Longitudinal Employer-Household Dynamics data
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Average Monthly Wages for Racial/Ethnic Minority Workers by Industry in the Pittsburgh Labor Market for 2013
$1,442
$2,047
$2,218
$2,326
$2,552
$2,761
$3,500
$3,636
$3,983
$4,007
$4,213
$4,357
$4,560
$4,893
$5,292
$5,450
$5,977
$6,107
$6,357
$7,254
$8,346
$0 $2,000 $4,000 $6,000 $8,000
Accommodation and Food ServicesRetail Trade
Arts, Entertainment, and RecreationOther Services
Agriculture, Forestry, Fishing and HuntingAdministrative and Support and Waste…
Transportation and WarehousingReal Estate and Rental and Leasing
Public AdministrationAll NAICS
ConstructionEducational Services
Health Care and Social AssistanceManufacturing
Finance and InsuranceWholesale Trade
Professional, Scientific, and Technical ServicesInformation
Management of Companies and EnterprisesUtilities
Mining, Quarrying, Oil and Gas Extraction
Racial/Ethnic Minority Workers White Non-Hispanic Workers
DATA SOURCE: U.S. Census Bureau, Longitudinal Employer-Household Dynamics data
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Average Monthly Wages for Racial/Ethnic Minority Workers by Peer Region in 2013
$3,162
$3,275
$3,318
$3,442
$3,475
$3,523
$3,523
$3,597
$3,631
$3,675
$3,683
$3,726
$3,726
$3,814
$3,948
$4,038
$0 $2,000 $4,000 $6,000
Kansas CityMilwaukee
MinneapolisRichmond
St. LouisDenver
IndianapolisBenchmark Average
AtlantaCharlotteCleveland
PhiladelphiaBaltimoreCincinnatiPittsburgh
Detroit
Racial/Ethnic Minority Workers White Non-Hispanic Workers
DATA SOURCE: U.S. Census Bureau, Longitudinal Employer-Household Dynamics data
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Average Monthly Wages of African American/Black Minority Workers by Peer Region in 2013
$2,395
$2,480
$2,635
$2,666
$2,699
$2,773
$2,780
$2,817
$2,829
$2,834
$2,943
$2,997
$3,077
$3,094
$3,102
$3,147
$0 $2,000 $4,000 $6,000
St. LouisMilwaukee
Kansas CityPittsburghClevelandCincinnatiRichmond
MinneapolisBenchmark Average
IndianapolisCharlotte
PhiladelphiaAtlantaDetroitDenver
Baltimore
African American/Black Minority Workers White Non-Hispanic Workers
DATA SOURCE: U.S. Census Bureau, Longitudinal Employer-Household Dynamics data
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Average Monthly Wages for Racial/Ethnic Minority Workers by Peer Region in 2013 Average Monthly Wages of Hispanic/Latino Minority Workers by Peer Region in 2013
$2,796 $2,917 $2,978 $3,007 $3,041 $3,042 $3,090 $3,098 $3,206 $3,237 $3,249 $3,341 $3,394
$3,599 $3,637 $3,661
$0 $2,000 $4,000 $6,000
MilwaukeeKansas CityIndianapolis
ClevelandRichmondCharlotte
DenverMinneapolisBenchmark…
AtlantaPhiladelphia
St. LouisBaltimoreCincinnati
DetroitPittsburgh
Hispanic/Latino Minority Workers White Non-Hispanic Workers
Average Monthly Wages for Asian Minority Workers by Peer Region in 2013
$4,217 $4,321 $4,359
$4,836 $4,891 $4,915 $4,947 $5,032 $5,153 $5,203 $5,296 $5,323
$5,790 $5,837 $6,060 $6,271
$0 $2,000 $4,000 $6,000 $8,000
MinneapolisDenver
Kansas CityAtlanta
RichmondMilwaukeeBaltimore
PhiladelphiaBenchmark…
St. LouisIndianapolis
CharlotteCincinnatiCleveland
DetroitPittsburgh
Asian Minority Workers White Non-Hispanic Workers
DATA SOURCE: U.S. Census Bureau, Longitudinal Employer-Household Dynamics data
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How the data was gathered
Using publicly available LEHD data from http://lehd.ces.census.gov
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Click on “LED Extraction Tool”
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The following metropolitan statistical
areas (MSAs) were used:
Pittsburgh, PA
Atlanta, GA
Baltimore, MD
Charlotte, NC
Cincinnati, OH
Cleveland, OH
Denver, CO
Detroit, MI
Indianapolis, IN
Kansas City, KS
Milwaukee, WI
Minneapolis, MN
Philadelphia, PA
Richmond, VA
St. Louis, MO
1st
2nd
3rd
Steps: 1. Select a state – Pennsylvania 2. Select Micro/Metropolitan Areas 3. Check Pittsburgh, PA
Step 1 – Geography
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Step 2 – Firm Characteristics
Keep the default selections for: - Industry Detail Level - Firm Ownership Click “Check All” under Industries
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Step 3 – Worker Characteristics
In the drop down menu for “Select Worker Characteristics by” - select “Race and Ethnicity” - Check all boxes under “Race” - Check all boxes under “Ethnicity”
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Step 4 – Indicators (1 of 3)
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Step 4 – Indicators (2 of 3)
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Step 4 – Indicators (3 of 3)
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Step 5 - Quarters
For this report the latest 2013 value was represented b y 1QTR 2013 + 3 previous QTR avg.
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Step 6 – Summary and Export
* Be sure to check “Include Labels”
- Steps 1-6 were repeated for each MSA and specified year
- 15 MSAs in total - 1998, 2002, 2007, 2010, 2012, & 2013
- The combined results created a workbook with over 127,000 lines of data
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Cleaning Up the Data
- Get rid of excess columns of information that are not beneficial
- Example: Education and Sex columns - Allows for better readability and organization
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Cleaning up the data
Columns retained: Geography, Industry, Race, Ethnicity, Year, Quarter, Employment, New Hires, Separations, Turnovers, Average Monthly Earnings, New Hire Average Monthly Earnings,
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Cleaning up the data Adding a new variable – “Calculated Year”
Combines the quarters into the correct year (ex: QTR 2 2012 + QTR 3 2012 + QTR 4 2012 +QTR 1 2013 = 2013)
Useful when creating pivot tables
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Cleaning up the data
Renaming labels Adding filters Data Tab Highlight top row
Filter Button
Old Label New Label
geography_label Region
industry_label Industry
race_label Race
ethnicity_label Ethnicity
Emp Total Employment
HirA New Hires
Sep Separations
TurnOvrS Turnovers
EarnS Avg. Monthly Earnings
EarnHirNS Avg. Monthly New Hire Earnings
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Creating Pivot Charts
Click on Insert tab Click on PivotTable – Select Pivot
Chart
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Creating Pivot Charts
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Creating Graphs
Define new variables as: Total Minority Workers = G2/I2 African American/Black Alone Minority = C2/I2 Asian Alone Minority = D2/I2 Hispanic Minority = F2/I2 Other Minority = E2/I2
New variables represent the percentage of jobs in all NAICS sectors held by racial and ethnic minority workers.
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Creating Graphs
Create a pivot table - Click on Insert tab - Click on PivotTable – Select Pivot Chart
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Creating Graphs
Using the pivot chart feature to create a graph makes it easier to order the data and format as desired.
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Why does this matter?
“Diversity and inclusion is an economic imperative for the Pittsburgh region as we cannot continue to grow regional employment into the future if the population maintains its current racial and ethnic composition”