Hottest neighborhoods for rentals in San Francisco — a very cool new mashup!

By admin On July 19, 2007 · 1 Comment

Thanks to Ethan Garner for this heads up about a really interesting mashup he’s just published– CraigStatsSF. Ethan collected a year’s worth of data from craigslist on apartments for rent in San Francisco, uploaded it to GeoCommons, and used our platform to build heatmapping functionality into his site. You can see the priciest neighborhoods and density of listings by type of apartment (studio, 1 bedroom, etc.) and per room.

The hotspots below show where rent was highest on a per-room basis. Check out CraigStatsSF along with Ethan’s introduction to the site below, excerpted from an email. Thanks, Ethan!

CraigStatsSF: Priciest rooms for rent in San Francisco over the last year

Ethan Garner explains the motivation behind CraigStatsSF:

In my eternal struggle to find an decent apartment, I noticed that
the rents were going up across the city in the last year…
I have always found the rental market here is rather confusing and
enigmatic… and have become fascinated the rental game.

Since I have been excessively bored for the last year, I decided to
see if there were any patterns to rents, and how rent scales with
neighborhood..

So… I have been storing ALL of the apartment listings off of
craigslist for the last year,…. and have then put together a site
that gives automatically generated statistics on the San Francisco
rental market…

http://mullinslab2.ucsf.edu/craigstats/

This site gives a number of things.

1. spatial information (google mashups) (1/2 mile intervals) on avg
rent on number of listings, % increase in rent.
2. Heatmaps (google mashups) of rents and number of listings,
3. statistics of rents broken down on the number of rooms and rents
per neighborhoods.
….and more random stuff.

This is completely non-commercial. No vested interest in anything
save the data. No ads.
Just a hobby of something to code when I am bored at night.

I just now want to get it out there to share it with others in the
city in hopes they find it useful.

Ethan Garner
egarner@mullinslab2.ucsf.edu