Local Employment Dynamics Boom or Bust, Determining Which Industries Are Thriving in the Texas Economy 1 Earlene Dowell LEHD Program Center for Economic.

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Presentation transcript:

Local Employment Dynamics Boom or Bust, Determining Which Industries Are Thriving in the Texas Economy 1 Earlene Dowell LEHD Program Center for Economic Studies U.S. Census Bureau

Outline  What is LED and why should I care?  LED Public-use Data and Web Tools  Live Demonstration  Introduction to Job-to-Job Flows 2

Where Does the Data Come From?  Local Employment Dynamics Partnership  Begun in late 1990s with a few states  Currently producing data for Massachusetts with data as far back as 2010  Pending territories include Puerto Rico and Virgin Islands 3

Why Are LED Data Special?  100% Coverage of UI Covered Jobs  Firm Characteristics crossed with Worker Characteristics  Detailed Geography  Data Currency  Accessible via powerful and easy-to-use tools  Flexible outputs: PDF reports, Excel tables, high- quality images, and shapefiles 4

Admin. Records & LED Infrastructure QCEW* Economic Survey Data Business Register UI* Wage Records Federal Records Demographic Census/Survey Data OPM* Public-Use Data Products… QCEW = Quarterly Census of Employment and Wages UI = Unemployment Insurance OPM = Office of Personnel Management Linked National Jobs Data Firm Data Jobs Data Person Data Job data cover over 95% of private employment and most state, local, and federal jobs Data availability: , start year varies by state, rolling end date

LED Data Products  Quarterly Workforce Indicators (QWI)  Employment, Job Creation, Job Destruction, Hires, Separations, Turnover, Earnings  By industry, county, and worker characteristics  LEHD Origin Destination Employment Statistics (LODES)  Employment and Workplace-Residence Connections  Detailed geography + firm/worker characteristics  Job-to-Job Flows (J2J)  Data on job transitions broken down by origin/destination industry and geography and worker characteristics  Flows between Jobs  Flows to/from Nonemployment  Beta data being released over coming months 6

Choosing Among LED Data Products Data Product Why Choose It?Potential Drawbacks QWIYou need employment, hires, separations, turnover, or earnings by detailed industry or person characteristics, quarterly time resolution, or a relatively short data lag No geography below county; no residential information LODESYou need employment for detailed or customized geography, residential patterns of the workforce, or relationship between worker employment and home locations Annual time resolution; less detailed firm/person characteristics; significant data lag (temporary) J2JYou need to understand transitions of workers among jobs No worker characteristics by industry, no geography below Metro/Micro Areas* *Data product is still under development. 7

Public Data Tools  All tools are free and available 24/7  Live Demonstrations of  QWI Explorer  LED Extraction Tool (QWI)  OnTheMap  OnTheMap for Emergency Management  Job-to-Job Explorer (coming soon!) 8

OnTheMap Where do workers live? Where do residents work? What are the commuter flows of a particular area? Analyze/report by worker demographics: age, earnings, race, ethnicity, educational attainment, and sex Analyze/report by firm characteristics: NAICS Sector, firm age, and firm size annual data 50 states available (plus DC) User-selected areas Based on Census Blocks Disclosure protection Flexible Inputs/Outputs Recognized by United Nations as a major U.S. statistical innovation 9

Hurricanes, Floods, Winter Storms Disaster Areas Wildfires Demographic & Economic Data Comprehensive Reports Real-time Data Updates Easy-to-use & Interoperable Historical Event Archive Flexible Analyses & Visualizations New Public Data Service for Emergency Preparedness & Response OnTheMap for Emergency Management

Questions Where do the workers employed downtown live? What share of workers with a short commute to downtown are aged 29 or younger? What share of workers employed in downtown also live there? During Hurricane Alex, what was the total Hispanic or Latino population that was impacted? 11

QWI Explorer 32 Quarterly Workforce Indicators Flexible Pivot Table and Map/Chart interface Data on detailed interactions between firms and workers include employment, employment change (individual and firm), and earnings Analyze/report by worker demographics: age, earnings, race, ethnicity, educational attainment, and sex Analyze/report by firm characteristics: NAICS classification (sector, 3, 4), firm age, and firm size Quarterly data very current (9-12 months old) National and 50 states available (plus DC) 12

Questions Which industries in my region are hiring older workers? Younger workers? Workers without a high school diploma? What do these jobs pay? How has this changed over time? 13

LED Extraction Tool 14

National QWI 15

Job-to-Job Explorer  Types of questions that can be answered with this soon-to-be released application:  Where are North Dakota’s oil boom workers coming from?  Download data from beta.html beta.html 16

Out-of-State Job-to-Job Flows from Texas 17

Out-of-State Job-to-Job Flows in Texas 18

Job-to-Job Separations 19

20

Where are all the construction workers going? 21

22

Where did all the teachers go (Industry/Geography)? 23

Web Addresses for Tools  QWI Explorer   OnTheMap   OnTheMap for Emergency Management   LED Extraction Tool 

Takeaways  The LED Partnership provides unique workforce information and analysis tools at a relatively low cost  LED data products (QWI, LODES, J2J) can give insight into local and regional economies and labor markets  LED’s web tools provide free, 24/7 access to a basic analytical platform for the data 25

Useful Links  QWI Explorer  Video Walkthrough: rough rough  Example Scenarios: arios arios  OnTheMap  Getting Started: pdf pdf  Analysis Guides:  Other Tutorials:

Thank You!  Local Employment Dynamics   Questions and Feedback    27

Slide Appendix 28

Choosing Data 1 When should I be interested in using LED data compared to other available statistics? Suppose I’m primarily interested in Employment Do I need the latest national estimate available? Current Employment Statistics (CES) Employment by industry - ‘the payroll survey’ Current Population Survey (CPS) Employment status and demographics - ‘the household survey’ Some sub-state geographies are available concurrently through Local Area Unemployment Statistics (LAUS) ? 29

But suppose I need either sub-national employment data or statistics by detailed industry: Quarterly Census of Employment and Wages (QCEW) Employment by detailed industry, sub-state geography and better employment coverage (6-month lag) Quarterly Workforce Indicators (QWI) Employment by detailed industry, sub-state geography, and worker demographics (age, sex, education, race) and fewer cell suppressions than the QCEW (9-month lag) American Community Survey (ACS) Employment status by more sub-state geographies than CPS/LAUS (9-month lag) LODES/OnTheMap Employment at the block-level (>1 year lag) County Business Patterns (CBP) Employment at the zipcode-level (>1 year lag) Choosing Data 2 ? 30

Suppose I’m primarily interested in Hires/Separations/Turnover Do I need the most current national data (1 month lag) or do I want to differentiate between quits and layoffs? Job Openings and Labor Turnover Survey (JOLTS) Do I need sub-national data (state/county), data by worker demographics, or for detailed industries? Quarterly Workforce Indicators (QWI) Job-to-Job Flows (J2J) Choosing Data 3 31

Suppose I’m primarily interested in Wages State and Regional Wage Information by Occupation? Occupational Employment Statistics (OES) Wages by Detailed Industry and Geography? Quarterly Census of Employment and Wages (QCEW) Wages by Detailed Industry and Geography and by Worker Demographics? Starting Wages for New Hires by Industry and Geography? Quarterly Workforce Indicators (QWI) Choosing Data 4 32

Choosing Data 5 Suppose I’m primarily interested in Commuting Transportation mode, time to work, work at home? American Community Survey (ACS) Commuting Data Commuting for Detailed/Custom Areas or Multiple Jobholders? LEHD Origin-Destination Employment Statistics (LODES/OnTheMap) 33

Quarterly Workforce Indicators (QWI) 34 Detailed workforce dynamics, by worker characteristics and firm characteristics Popular uses: Local workforce demographics Local industry workforce trends Workforce turnover, job creation and destruction

Can see workforce composition by detailed firm characteristics Such as what share of the workforce at startup firms is female? Quarterly Workforce Indicators (QWI) 35

Job-to-Job flows 36

OnTheMap: Where workers live, and where they work This map shows LODES data of where residents of Vancouver, Washington work Popular uses: local economic development business site selection emergency planning 37

OnTheMap: Block- level employment detail 38

39 Hurricane Sandy - October 25,

Real World Examples Some brief examples of from our users… 40

LODES: An Examination of Maryland Enterprise Zones 41

LODES: Growth in City Centers 42 g/wp- content/uploads/2015/0 2/Surging-City-Center- Jobs.pdf

QWI: Education and Employment in Utah 43

QWI: A Comparison of I-95 and I-270 Corridors 44

QWI: Combining More than One Indicator to Create New Insights 45

QWI: Combining More than One Indicator to Create New Insights 46

QWI: Combining More than One Indicator to Create New Insights 47