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Why is the manufacturing employment number 15 million #178

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pabucklely opened this issue Jan 12, 2016 · 6 comments
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Why is the manufacturing employment number 15 million #178

pabucklely opened this issue Jan 12, 2016 · 6 comments
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@pabucklely
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The actually number is 12 million.

@danielbyler
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Here is the BLS citation http://www.bls.gov/iag/tgs/iag31-33.htm

@jspeis
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jspeis commented Jan 19, 2016

We are using PUMS 2014 data for our estimate. Based on this data, there are an estimated 15M in manufacturing with ~14.1M full-time employees and ~900K part-time employees.

@pabucklely
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This is a problem—the standard reference for employment by industry is BLS Current Employment Statistics survey, also known as the “Establishment Survey.” Not sure why the PUMS has estimates that are so much higher. Any way to switch?—the site will look wrong otherwise.

Thanks
Patricia

Patricia Buckley
Director | Economic Policy and Analysis
Deloitte Services LP
703 254-3958
pabuckley@deloitte.com | www.deloitte.com

From: jspeis [mailto:notifications@github.com]
Sent: Tuesday, January 19, 2016 7:53 AM
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Cc: Buckley, Patricia (US - Arlington) pabuckley@deloitte.com
Subject: Re: [datausa-site] Why is the manufacturing employment number 15 million (#178)

We are using PUMS 2014 data for our estimate. Based on this data, there are an estimated 15M in manufacturing with ~14.1M full-time employees and ~900K part-time employees.


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v.E.1

@danielbyler
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Maybe we just call them ask why there is a difference, and then put that in the 'about' section of the site with hopefully some good reason as to why we use ACS.

@alexandersimoes
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This is definitely an interesting point to bring up here @pabucklely, since there could certainly be people cross checking our data and wondering about this discrepancy. That being said we are too far down the line in the project to incorporate a new dataset. The work that it would require to digest a new dataset, incorporate it into the API and make the relevant front-end changes could potentially delay the project 2 weeks or more. That being said I do see the importance of your point!

I think the best solution is to either add a mouseover saying the specific source of the number or adding a note in the about section mentioning how these 2 datasets diverge.

@davelandry
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I've just coded the new CES numbers into the profiles that have them. Here's the Manufacturing page:

screen shot 2016-02-10 at 5 53 32 pm

And here's a page that does not have data in the CES dataset:

screen shot 2016-02-10 at 5 53 01 pm

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