|Sent on:||Monday, March 24, 2014 5:12 PM|
Yes there is a meetup this week! Richard, would you be interested in doing a lightning talk on your methodology and what you have learned so far? We have a slot open. Respond to me directly please!
Love the idea - it is indeed complicated. I've tried lining up PLUTO data with census info for the purpose of identifying potential pockets of high informal/illegal dwellings. What I found was that the error in both datasets in combination left me feeling too nervous to draw conclusions. I've got some slides/write-ups that I'm happy to share via email but I think there will be enough interest in this concept to gather up some folks in person to discuss/brainstorm. I'd definitely be down for it!
Also, I think there could be some potential problems with assuming all pockets of the city have similar populations per number of units. As we know, sometimes cultural or socioeconomic factors can influence the number of people that tend to live together. Also, some pockets of the city have higher numbers of families and other more single people/childless folk. Can you account for this in your stats method?
Is there a BetaNYC this week? Seems like a perfect topic. Cool stuff!
-Jessie> From: [address removed]
> Subject: [betaNYC] PLUTO and Census Demographics
> To: [address removed]
> Date: Mon, 24 Mar[masked]:55:58 -0400
> I’d like to explore the idea of using PLUTO data together with US Census data to better model NYC demographics. Here’s my line of reasoning: The number of residential units on a tax lot gives a relative distribution of individuals for a given area assuming each unit has approximately the average number of occupants. A tax lot with 10 units could be reasonably assumed to have roughly double the number of occupants as a tax lot with 5 residential units. If those two tax lots were the only tax lots in a particular census tract with residential units (UnitsRes >=1), the total number of residential units in the tract would be 15, with the first tax lot of 10 residential units having 2/3rds of the population and the second tax lot of 5 residential units having 1/3rd of the population for the tract. If the total population of the tract was 99, then the population of the first tax lot (with 10 residential units) would be 66 and the population of the second tax lot (with 5 residential units) would be 33. Assuming then an even distribution of all other demographic characteristics, if there were 66 women and 33 men living in the tract, the number of women in the first building is likely to be approximately 44 and the number of women in the second building would be around 22, with the balance in each building estimated to be men (22 and 11 respectively).
> First of all, does sound like a reasonable way of combining this data for those who’ve gone down this path of using demographic data with other data sources?
> Secondly, for those experienced with using PLUTO data, is this a reasonable way of using UnitsRes? Am I going to miss anything with this approach? According to the data dictionary (yes Jessie Braden, I read the PDF), UnitsRes won’t count hotels/motels, nursing homes, and SROs (single room occupancy), but does count boarding houses. Is there likely to be any issues with condos? Any other pitfalls I’m not seeing?
> I appreciate any and all feedback on this work and will be happy to share out my results with the BetaNYC community.
> Richard Dunks
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