1. Creative Regional Strategies March 28, 2011

2. 2 City Size and the Creative Class

3. City Size & the Creative Class 3

4. Workers in creativity-oriented occupations are concentrated in small number of city regions 4

5. 5

8. Creative Jobs as a Percent of Total Employment 8

9. Service Class Jobs as a Percent of Total Employment 9

10. Working Class Jobs as a Percent of Total Employment 10

11. Agricultural Jobs as a Percent of Total Employment 11

12. Self-Employed 12

13. The Problem a (non) City Is: The Distribution of Creative Workers

14. US Metro Areas (Total Creative)

15. US Metro Areas (under 500,000)

16. US Counties

17. US Counties (under 100,000)

18. Ontario CSDs (over 100 creative)

19. Ontario CSDs (under 100,000)

20. All Geographies (over 100 workers)

21. All Geographies (over 100)

22. Lower Bound?? Upper Bound?? Above Upper??

23. Greatest Positive Residuals Los Alamos County, New Mexico10,05363.1% Arlington County, Virginia134,32160.0% Falls Church city, Virginia5,96959.4% District of Columbia, District of Columbia321,46654.3% Alexandria city, Virginia88,77153.3% Deep River (3547096) T 000001,90552.8% New York County, New York938,44852.2% Fairfax County, Virginia566,85651.5% Howard County, Maryland152,70951.1% Loudoun County, Virginia154,25550.9% Montgomery County, Maryland528,47550.9% Fairfax city, Virginia12,87548.0% Durham, NC274,72046.9% Carter County, Montana75546.3% San Jose-Sunnyvale-Santa Clara, CA888,48046.1% Washington-Arlington-Alexandria, DC-VA-MD-WV2,299,33046.1% San Francisco County, California474,59446.1% Washington-Arlington-Alexandria, DC-VA-MD-WV2,856,75045.8% Albemarle County, Virginia47,90845.4% Ithaca, NY49,86045.2% Boulder, CO155,40044.8% Douglas County, Colorado150,46844.7% Middlesex County, Massachusetts830,17444.6% Framingham, MA156,47044.5% York County, Virginia28,20144.5% Bethesda-Gaithersburg-Frederick, MD556,42044.3% Marin County, California131,55044.2% Oakville (3524001) T 0000091,13044.1%

25. Sum (for all CSDs) – Total CC ÷ distance away (km) Gravity weighted Total CC ÷ (distance away (km)) 2 (Inverse) Distance Weighted Creative Class

26. Regressing Total Creative Class

27. Regressing Logged Creative Class

28. Regressing Percent Creative Class

29. Regressing Total Creative Class - Gravity

30. Regressing Logged Creative Class - Gravity

31. Regressing Percent Creative Class - Gravity

32. Distributions are different – All (large) versus small (rural) regions Strong, positive relationship – Region size (logged) and SHARE creative – Bigger regions  higher share – Lower bound – steeper than average (faster) Outside (above) the “schmeer” – (select) Urban Centres – University Towns (some) – Rural concentrations (meds/eds/law) Takeaways (for now)

33. Creative Proximity - distance – Zilch, nada, nothing Creative Proximity – gravity – Total Creative (not logged; share) Region/Market Size – Consistent Density – Not Really Growth – Negative? Takeaways (for now)

34. 34 Creative Class Theory Outside “Major” Urban Centres

35. “Urban” Policy Urban policy is not social policy. 35

36. “Urban” Policy Urban policy is not social policy. Urban policy is economic policy. 36

37. “Urban” Policy Urban policy is not social policy. Urban policy is economic policy. What happens when you’re not “urban”? What’s your economic policy? 37

38. “Urban” Policy What about “non-urban” areas?? Think Big Look Big Use a shotgun, not a rifle Secret strategy #4 38

39. Think Big 39

40. Connecting the Disconnected 40

41. Look Big 41

42. Use a Shotgun not a Rifle 42

43. Secret Strategy #$