[TRU Research] Data on voting by income

Jim Walseth jim.walseth at gmail.com
Sat Oct 3 14:37:26 PDT 2020


Adding other data people back to conversation.

On Sat, Oct 3, 2020 at 2:36 PM Jim Walseth <jim.walseth at gmail.com> wrote:

> And now with map!
> Hover around on the scatterplot to highlight the tracts in the map.
>
> https://public.tableau.com/profile/katie.wilson8886#!/vizhome/VoterRegistrationandIncomeinKingCounty/VoterRegistrationandIncomeinKingCounty?publish=yes
>
> On Sat, Oct 3, 2020 at 2:01 PM Jim Walseth <jim.walseth at gmail.com> wrote:
>
>> I flipped the axes here since Voter Reg. is what we care about
>>
>> https://public.tableau.com/profile/katie.wilson8886#!/vizhome/CorrelateIncomewithRegistrationFlipAxes/CorrelationofMedianHouseholdIncomewithVoterRegistration?publish=yes
>>
>> On Sat, Oct 3, 2020 at 1:21 PM Jim Walseth <jim.walseth at gmail.com> wrote:
>>
>>> Hi Katie,
>>> I downloaded the csv Doug attached, and also reading this thread to
>>> understand what you're after.
>>> For starters I just did the scatterplot adding a correlation line which
>>> is quite strong.
>>> I put it in the katie at transitriders.org Public account.
>>>
>>> https://public.tableau.com/views/CorrelateIncomewithRegistration/CorrelationofMedianHouseholdIncomewithVoterRegistration?:language=en&:display_count=y&publish=yes&:origin=viz_share_link
>>> In theory I can get the census tract geometry and make a map.
>>> Jim
>>>
>>> On Thu, Oct 1, 2020 at 11:12 AM Katie Wilson <katie at transitriders.org>
>>> wrote:
>>>
>>>> On another note, just wanted to share that we got a data shout-out from
>>>> CM Mosqueda just now…
>>>> https://twitter.com/CMTMosqueda/status/1311729335456329729
>>>>
>>>> On Sep 28, 2020, at 9:49 AM, Katie Wilson <katie at transitriders.org>
>>>> wrote:
>>>>
>>>> I’ll be working on it next weekend most likely!. (Gotta do my TRU work
>>>> too after all...) So anything we can come up with this week is great!
>>>>
>>>> On Sep 28, 2020, at 9:44 AM, Jim Walseth <jim.walseth at gmail.com> wrote:
>>>>
>>>> 
>>>> Katie *et al*,
>>>> I'll do what I can in Tableau Public with this (anyone can BTW). Maps
>>>> are my speciality so that could happen. And I can make prettier plots with
>>>> correlation lines. Maybe not until this evening though. When is the
>>>> Crosscut article due?
>>>> Jim
>>>>
>>>> On Mon, Sep 28, 2020 at 8:47 AM Katie Wilson <katie at transitriders.org>
>>>> wrote:
>>>>
>>>>> Interesting! Thanks Doug, this is great. I wonder why they stop
>>>>> counting after 91%, that’s a weird stopping point.
>>>>>
>>>>> I don’t know about converting the districts. And actually I’m just
>>>>> realizing, since the voter turnout data is % of *registered *voters,
>>>>> ideally we’d want to combine the two datasets to get a picture of
>>>>> percentage of *eligible* voters to who voted.
>>>>>
>>>>> If we can’t convert the districts, I guess from the point of view of
>>>>> putting the registered voter correlations into words, it would help to be
>>>>> able to say something like:
>>>>>
>>>>> In the (10% or 20%? not sure which is best) of districts with the
>>>>> lowest median income, average voter registration was X%, while for
>>>>> districts with the highest median income it was Y%
>>>>>
>>>>> and similarly for the % of households below 200% FPL measure, though
>>>>> looking at the graphs it appears that the median income correlation will be
>>>>> much clearer. It’s kind of interesting how the dots for the highest
>>>>> percentages of low-income households are really all of over the place when
>>>>> it comes to voter registration. I wonder why that is.
>>>>>
>>>>> On Sep 27, 2020, at 10:09 PM, Douglas Sexton <
>>>>> sextondouglas at comcast.net> wrote:
>>>>>
>>>>> Definitely can see some correlations. They stop counting after 91%
>>>>> voter registration. I have ugly knockoff excel so hopefully you can make
>>>>> prettier graphs than me. I'm not sure how hard it is to convert voting
>>>>> districts to census districts so I haven't tried 2A/2B. Still open for
>>>>> someone else to try!
>>>>> <image.png>
>>>>> <image.png>
>>>>>
>>>>> On 09/27/2020 9:38 PM Katie Wilson <katie at transitriders.org> wrote:
>>>>>
>>>>>
>>>>> Awesome, thank you Doug!
>>>>>
>>>>> On Sep 27, 2020, at 9:24 PM, Douglas Sexton <
>>>>> sextondouglas at comcast.net> wrote:
>>>>>
>>>>> I made a csv file with the census voter registration and income data
>>>>> combined. I also attached the json that was tricky to find with the income
>>>>> data and a script I used to convert it to csv in case anyone wants to check
>>>>> my work or use it for something else.
>>>>>
>>>>> Haven't made the scatter plot yet! Will do that in a sec.
>>>>>
>>>>> On 09/27/2020 8:13 PM sextondouglas < sextondouglas at comcast.net>
>>>>> wrote:
>>>>>
>>>>>
>>>>> Giving it a go right now
>>>>>
>>>>>
>>>>> -------- Original message --------
>>>>> From: Katie Wilson < katie at transitriders.org>
>>>>> Date: 9/27/20 7:50 PM (GMT-08:00)
>>>>> To: research at transitriders.org
>>>>> Subject: [TRU Research] Data on voting by income
>>>>>
>>>>> Hey all,
>>>>>
>>>>> I’m going to shamelessly use this list to ask for some data help for a
>>>>> Crosscut column I’m working on, not directly TRU-related. Nationally
>>>>> there’s  a strong correlation between voting rates and income
>>>>> <https://www.politico.com/magazine/story/2015/01/income-gap-at-the-polls-113997>—
>>>>> as you might expect, poor people tend not to vote. I was looking for
>>>>> something about the strength of this trend in Washington state or King
>>>>> County, and I found  this story
>>>>> <https://www.kuow.org/stories/the-neighborhoods-with-highest-and-lowest-voter-turnout-in-king-county>,
>>>>> which is good but not super detailed. However, there is also this map and
>>>>> data set:
>>>>> https://www.communitiescount.org/voter-registration-voter-turnout
>>>>>
>>>>> I played around with the layers in the map a little, enough to know
>>>>> there’s a lot of interesting stuff in there. It looks like you can download
>>>>> .csvs, but I’m not adept enough with the format to figure out quickly how
>>>>> to get to what I want. I’m interested specifically in correlations between:
>>>>>
>>>>> 1. Percent registered voters by census tract
>>>>> 2. 2019 general election voter turnout by precinct
>>>>>
>>>>> And, in the King County demographics layer —> Income:
>>>>> A. Median household income
>>>>> B. Percent below 200% of federal poverty level
>>>>>
>>>>> I’m interested to see how each of 1. and 2. correlate with each of A.
>>>>> and B. Perhaps in the form of scatter graphs?
>>>>>
>>>>> If anyone is interested and has time to dig into this, let me know—
>>>>> and maybe reply on this list if you’re working on it so no one is
>>>>> duplicating efforts unless they want to.
>>>>>
>>>>> Thanks!
>>>>> Katie
>>>>>
>>>>> Katie Wilson
>>>>> General Secretary
>>>>> Transit Riders Union
>>>>> https://transitriders.org
>>>>> 206-781-7204
>>>>>
>>>>> *The Transit Riders Union is a democratic organization of working and
>>>>> poor * *people, including students, seniors, and people with
>>>>> disabilities, taking control over our own lives, and building up the power
>>>>> we * *need to change society for the good of humanity and of the
>>>>> planet. We will * *fight to preserve, expand, and improve the public
>>>>> transportation system in * *Seattle and beyond, so that every human
>>>>> being has access to safe, * *affordable, and reliable public transit.*
>>>>>
>>>>> *I also write opinions <https://crosscut.com/author/katie-wilson> for
>>>>> Crosscut. * *Sign up for my newsletter here
>>>>> <http://eepurl.com/g_D3nf>.*
>>>>>
>>>>> <CensusVoterRegistrationAndIncomeData.csv> <parse.py>
>>>>> <query1-398.json>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>
>>>>
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