1. Transportation leadership you can trust. presented to MTF Data Committee presented by Capton Siluvairajan Cambridge Systematics, Inc. Date: 10/17/2008 Using Quarterly Census of Employment and Wages (QCEW) Database as the Employment Data Source

2. 1 Purpose of this study Using QCEW Database as the main source of Employment Data for Planning / Modelling

3. 2 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”

4. 3 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

5. 4 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

6. 5 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

7. District 7 QCEW (by NAICS)

8. 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.

9. District 7 QCEW (by NAICS) "Making The North American Industrial Classification System (NAICS) Work For Transportation“ – AASHTO Study

10. District 7 QCEW (by NAICS) Total Non-Farm (BEA) x Category % From AASHTO study

11. 10 District 7 Use these control totals to expand InfoUSA

12. 11 QCEW Data – Things to note Employers that report Statewide Employment Numbers Coded as County 995 & 999 Redistributed using ratio of NAICS category to Statewide total Example: 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

13. 12 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

14. 13 QCEW Data - Data Distribution