Local employment dynamics led onthemap
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Local Employment Dynamics (LED) & OnTheMap. Nick Beleiciks Oregon Census State Data Center Meeting April 14, 2009. What is LED?. Longitudinal Employer-Household Dynamics (LEHD) Program within the U.S. Census Bureau Local Employment Dynamics (LED) Partnership between the states and Census

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Local Employment Dynamics (LED) & OnTheMap

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Local employment dynamics led onthemap

Local Employment Dynamics (LED)&OnTheMap

Nick Beleiciks

Oregon Census State Data Center Meeting

April 14, 2009


What is led

What is LED?

  • Longitudinal Employer-Household Dynamics (LEHD)

    • Program within the U.S. Census Bureau

  • Local Employment Dynamics (LED)

    • Partnership between the states and Census

    • Creates new information about the labor market

      • Low cost

      • No additional respondent burden

      • Protects confidentiality


How to describe led

How To Describe LED?

  • “A Census – State Partnership”

    The folks at LEHD

  • “Sexy”

    OnTheMap user during a Webinar

  • “LED is a thousand answers looking for a thousand questions”

    Tom Tveidt of SYNEVA Economics LLC


Http lehd did census gov led

http://lehd.did.census.gov/led/


The products

The Products…

  • Quarterly Workforce Indicators (QWI)

    • 30 Indicators

  • QWI Online

    • 8 Indicators – Easy to access and use

  • OnTheMap

    • Maps and much more!

  • Industry Focus

    • Ranks industries by the 8 Indicators

  • Older Worker Profiles

    • “Old” data


How it works

How It Works…

  • States provide quarterly administrative data

    • Employer locations, number of employees, payroll

      • Quarterly Census of Employment and Wages (QCEW)

    • Individual earnings and employers

      • Unemployment Insurance “Wage File”

  • LEHD matches state employment data with demographic (age & gender) and residency information about individual workers

    • Social Security Administration records


Who s involved

Who’s Involved?


What workers are included in led

What Workers Are Included In LED?

  • Workers covered under Oregon’s Unemployment Insurance (UI) program

    • About 1.7 million

  • Who is not covered?

    • Federal employees

    • Railroad workers

    • Some agricultural workers

    • Student workers


The fuzz data police

The FUZZ(data police)

  • LED maintains confidentiality about workers and employers

  • They “fuzz” some data to ensure confidentiality

  • Unsure how the folks at LEHD do this

  • This leads to some hesitation for some new users

  • Fuzz information available for QWI


Quarterly workforce indicators qwi

Quarterly Workforce Indicators (QWI)

  • Available from the Cornell VirtualRDC website

    http://www.vrdc.cornell.edu/news/

  • 30 employment and earnings indicators

    • Year – Oregon goes back to 1991

    • Quarter – Partial information for 2q2008

    • Gender – male, female, or both

    • Age – 14-99, 14-18, 19-21, 22-24, 25-34, 35-44, 45-54, 55-64, 65-99

    • Geography – County and Metro and Micro Areas

    • Industry – 4-digit NAICS level


Types of fuzz codes

Types of Fuzz Codes


Quarterly workforce indicators qwi example

Quarterly Workforce Indicators (QWI) Example


Qwi online

QWI Online

  • 8 Employment Indicators:

  • Available for same groups as regular QWI

  • Easy to use online tool at LEHD Website:

    http://lehd.did.census.gov/led/datatools/qwiapp.html


Qwi online example

QWI OnlineExample


Onthemap version 3

OnTheMap – Version 3

  • Adds GIS capability to LED data

  • Fewer indicators – more geographic detail

    • Years – 2002 – 2006

    • Quarter – 2nd Quarter only

    • Age – 30 or younger, 31 to 54, 55 or older

    • Wages – < $1,200, $1,201 to $3,400, > $3,400

    • Geography – Down to Census Block Groups

    • Industry – 2-digit NAICS level

    • Industry Groups

      • Goods producing

      • Trade, transportation and utilities

      • Other services


Onthemap version 3 http lehdmap3 did census gov themap3

OnTheMap – Version 3http://lehdmap3.did.census.gov/themap3/


Onthemap version 3 example 1 of 4

OnTheMap – Version 3Example (1 of 4)


Onthemap version 31

OnTheMap – Version 3


Onthemap version 3 example 2 of 4

OnTheMap – Version 3Example (2 of 4)


Onthemap version 3 example 3 of 4

OnTheMap – Version 3Example (3 of 4)


Onthemap version 32

OnTheMap – Version 3


Onthemap version 3 example 4 of 4

OnTheMap – Version 3Example (4 of 4)


Other uses of onthemap

Other Uses of OnTheMap

  • Natural disasters – tornados, floods, etc.

    • Employment impact

    • Estimate unemployment insurance payouts

  • Commute patterns

  • Economic development

  • Housing studies

    • Affordable housing


Industry focus

Industry Focus

  • Quick way to look at QWI indicators by industry

  • Ranks industries by any of the 8 QWI Indicators

  • Uses a four quarter average


Industry focus example

Industry FocusExample


Older worker profiles

Older Worker Profiles

  • LEHD produces this series of reports for 30 states

  • The Geographic Distribution and Characteristics of Older Workers: 2004

  • The data is “old” – 2004 when we now have 2007

  • “Easily” replicable


Older worker profiles1

Portion of County Workforce Age 55 and Older

2007 Census LEHD data

15.0% to 18.0%

18.1% to 21.1%

21.2% to 24.2%

33.5%

Older Worker Profiles


Average monthly earnings age 55 and older

Average Monthly EarningsAge 55 and Older


Average monthly earnings of workers 55 and older by industry

Average Monthly Earnings of Workers 55 and Older, by Industry

Metropolitan Areas

Highest-paying: Financial Activities ($4,821)

Lowest-paying: Leisure and Hospitality ($1,723)

Non-Metropolitan Areas

Highest-paying: Resources and Mining ($4,293)

Lowest-paying: Leisure and Hospitality ($1,492)


Map increase in number of older workers 2002 2007

Increase in Number of Workers Age 55 and Older

2002-2007, Census LEHD data

14.5% to 26.9%

27.0% to 39.9%

40.0% to 52.9%

53.0% to 66.2%

MAP: Increase in number of older workers, 2002-2007


What can led tell us about the recession

What Can LED Tell Us About the Recession?

  • Not much – yet

  • Are Baby Boomers retiring?

  • Previous recession:

    • Stable separations went down while stable hires went up

    • Largest drop off was in workers 55-64

    • Youth employment came back for girls after recession, but not for boys


Local employment dynamics led onthemap

Thank you for your time.

Questions or comments?

[email protected]

(541) 947-1267


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