Since this is going to be “on the agenda” here soon, a little mini-atlas of the Creative Class in Dayton (Montgomery County).  This is a narrower definition then Floridas’ as I look at what I call the “Core Creatives” plus “Technical Professionals”

 

This is sort of in line with that old Two Cultures concept of CP Snow.

 

I first show the top 10 tracts by % of people in that tract, to show neighborhoods with a higher proportion of the group I am looking at, than a top 10 map based on a simple count (and occasionally tracts with 10 or 20 or fewer, to show areas with minimal numbers).  In some cases tracts tie at the same %.  In that case I show both tracts,  so the top 10 is occasionally really more than 10 tracts.

 

I use census figures (Decennial Census SF4 summary file) based on Bureau of Labor Statistics occupational classifications; these are what’s counted in the following charts.  The census aggregates based on certain summary classifications, so I can’t get as granular as I’d like .:

 

The “Core Creative” Class, based on this BLS grouping:

 

27-0000 Arts, Design, Entertainment, Sports, and Media Occupations

 

The first two maps aggregate these two groups….

 

27-1010 Artists and Related Workers

 

27-2000 Entertainers and Performers, Sports and Related Workers

 

…into the “Core Creative Class” (what we usually think when we think about “creativity”..art, design, performance, music, etc )

       

 

 

 

The next are for Media, which is a mix of creative and craft workers. Unfortunately I cant break out the craft/trade workers (broadcast technicians, cameramen, gaffers, soundmen, best boys, all that stuff you see on the movie credits)

 

 

 

For the next few sets I look at more technical types of creativity.

 

17-0000 Architecture and Engineering Occupations(except drafting/technician) types of work)

 

 

 

 

 

Next the Computer & math workers and Scientists

 

15-0000 Computer and Mathematical Occupations

 

plus

 

19-0000 Life, Physical, and Social Science Occupations

 

 

 

Then a roll-up of the Core Creatives + Media and the Technical Professionals, Computer Workers, and Scientists, to see concentrations of these groups (and where they’re not).

 

 

 

 

 

 

One thing that is evident is that in terms of % of a census tract in one or other group, there is no overlap, though they are in adjacent tracts.  There is an overlap in a few tracts of large numbers of both core creatives and technical professionals.

 

 

Also, comparing the paired maps, on can see smaller tracts (in population) can have a higher % of one group. 

 

And there are some unknown concentrations, like the VA area (which is really a subdivision off of Dayton-Liberty Road) and the Kitridge/Forest Ridge area near Huber Heights (which seems quite the nerdistan), and that big apartment/townhouse complex off of Watertower Road, along I-75 near the former site of the Imperial motel.

 

The popularity of Washington Township and the Mall area really stands out, though, for techies of various types.

 

 

 

Nice maps! We haven't done anything that robust in Cleveland, although I did do a location quotient and shift-share analysis of creative business (using NAICS classifications from the BLS) to compare Cuyahoga County's concentrations in various fields to the 50 largest counties. Some interesting stuff emerged ... such as that we had the 3rd highest concentration of employment in sports and cultural promotion and the 4th highest concentration of musical artists.

 

Quick question - As you used SOC data, is this showing concentration by place of employment or place of residency?

aaawww, mini-me!

I look forward to your posts, Jeffrey.  Unfortunately, there is usually so much good information that my brain starts hurting before I can take it all in.  Definetly not something to review wehn you have 2 minutes waiting for a computer job to run. 

 

Great data, analysis, and maps.

 

Quick question - As you used SOC data, is this showing concentration by place of employment or place of residency?

 

I didn't use SOC data, just the classifications.  The data is from the decennial census, SF04, from a custom table I created via that American Factfinder utility. 

 

The census groups the data via SOC classifications, which I linked to in the thread header as a reference so folks can see what occupations are included.

 

As this is census, it is based on place of residence, which is what I was interested in in this case.

 

I've used NAICS (via County Buisiness Patterns) for some of those other charts I posted on the economic structure of Montgomery & Greene County, the decline of Downtown Dayon, and on manufacturing and the tool & die industry (they're all on this subforum somewhere).  NAICS is more type of buisiness rather than occupation, so I like it for economic trend watching.