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Paul Overberg presents "Analyzing Longitudinal Employer-Household Dynamics Data" during a Reynolds Center workshop, "Mining the Census for Local Business Stories." For more information, please visit businessjournalism.org.
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Steve Doig, Arizona State
Paul Overberg, USA TODAY
Philadelphia
Jan. 31, 2011
LEHD: A Very Local Look at Who Works Where
LEHD = Longitudinal Employer-Household Dynamics
Data from employer UI filings
Pooled state data, Census processing
Labor Dept. funding (ETA, EDA)
Where it comes from
Quarterly filing: Worker name, age, gender, industry, earnings
Census block of worker’s home, work establishment
Trackable worker ID
What data goes in
What data goes in
What data comes out Dynamics: quits, hires, layoffs
Cross-tabs by age, industry, earnings
Commuting flows
Location quotient analysis
Shift-share analysis
What can be studied Workforce aging, turnover rates
Clusters: downtown, etc.
Glass ceiling
Transit needs
Competitive stance: Location quotient and shift-share
Quarterly Workforce Indicators
On the Map
Others: Hot Reports, Industry Focus
Chief data products
Lags about a year
Synthetic data
Misses 5%: military, self-employed
Does not include Mass.*, N.H.
Caveats and cautions
QWI Online
QWI Online
QWI Online
Quarterly Workforce Indicators:
lehd.did.census.gov/led/datatools/qwiapp.html
On the Map: lehdmap.did.census.gov/
Demonstration