Transportation leadership you can trust.

presented to

MTF Data Committee

presented byCapton Siluvairajan

Cambridge Systematics, Inc.

Date: 10/17/2008

Using Quarterly Census of Employment and Wages (QCEW) Database as the Employment Data Source

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Purpose of this study

Using QCEW Database as the main source of Employment Data

for Planning / Modelling

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Why QCEW Data

FREE from the Agency for Workforce Innovation (AWI)

Updated Quarterly

Usage Restrictions - Can be obtained under single contract between SPO and AWI and distributed statewide

“Using LEHD Data for Travel Demand Models : The Florida Experience” - Krishnan, Cambridge Systematics

• Review of QCEW

• Comparison between InfoUSA and QCEW data (2004) for NERPM and POLK

• Conclusion – “QCEW data good source for employment data”

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Obectives

Research source / methodology that is being used by others – District 7

Feasibility of coming up with uniform methodology for whole state using QCEW

Research any QCEW data related issues currently missed by users

Explore GIS driven tools to extract QCEW data

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District 7

Uses InfoUSA, BEA and QCEW as data sources

1. Preparation of control totals - QCEW

2. Base year employment estimates into 20 categories

3. InfoUSA numbers adjusted for these 20 categories’ control totals

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District 7

1. Agriculture, Forestry, Fishing & Hunting

2. Mining

3. Construction

4. Manufacturing

5. Freight, Transportation & Warehousing

6. Wholesale Trade

7. Comparative Retail

8. Convenience Retail

9. Air Transportation

10. Utilities, Repair & Maintenance

11. Health Care & Social Services

12. Government Services

13. Military

14. (d) Accommodations

15. Office, Professional & Other Services

16. Employment Services (employee leasing, temps, staffing)  

17. Postal Service

18. Banking

19. Personal Services

20. Educational Services

District 7

QCEW (by NAICS)

District 7

BEA Local Area Annual Estimates, Table CA-25 Total Employment by Industry

Year 2001 to 2005 Extrapolated to 2006 using Average Annual Growth Rate.

District 7

QCEW (by NAICS)

"Making The North American Industrial Classification System (NAICS) Work For

Transportation“ – AASHTO Study

District 7

QCEW (by NAICS)

Total Non-Farm (BEA) x Category % From AASHTO study

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District 7

Use these control totals to expand InfoUSA

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QCEW Data – Things to note

Employers that report Statewide Employment Numbers

Coded as County 995 & 999

Redistributed using ratio of NAICS category to Statewide totalExample: 

Statewide NAICS 4234                          = 48,000 (employment)

County 995 + County 999 NAICS 4234    =  4,500 (employment)

County 086 NAICS 4234                       =  8,000 (employment)

8,000 / 48,000 = 16.7 percent

4,500 * .167 = 752

So we would add 752 jobs to County 086 NAICS 4234

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QCEW Data - Data Distribution

GIS Tool for Data Distribution

Encrypts QCEW Data so anybody can use without having to sign agreement with AWI

Easy to extract using TAZ of County Geography

Automated Geo-coding using built-in TeleAtlas Network

Automated TAZ assignment of Employment data

Prototype already developed and tested

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QCEW Data - Data Distribution