using lehd data to advance economic development in the …lehd.ces.census.gov/doc/vibrant pittsburgh...

Using LEHD data to advance economic development in the Pittsburgh region

Melanie Harrington, President and CEO

Elissa Waldmuller, Research Analyst

Vibrant Pittsburgh

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.

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

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.

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

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

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

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

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

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

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

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

How the data was gathered

Using publicly available LEHD data from http://lehd.ces.census.gov

Click on “LED Extraction Tool”

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

Step 2 – Firm Characteristics

Keep the default selections for: - Industry Detail Level - Firm Ownership Click “Check All” under Industries

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”

Step 4 – Indicators (1 of 3)

Step 4 – Indicators (2 of 3)

Step 4 – Indicators (3 of 3)

Step 5 - Quarters

For this report the latest 2013 value was represented b y 1QTR 2013 + 3 previous QTR avg.

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

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

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,

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

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

Creating Pivot Charts

Click on Insert tab Click on PivotTable – Select Pivot

Chart

Creating Pivot Charts

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.

Creating Graphs

Create a pivot table - Click on Insert tab - Click on PivotTable – Select Pivot Chart

Creating Graphs

Using the pivot chart feature to create a graph makes it easier to order the data and format as desired.

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”