CD7 Outreach Officers update, 9/4/18: Using election data to target precincts
A MN house district has about 20,000 doors, and about now our campaigns are probably wondering which ones to door knock or mail to, especially given that the VAN database isn’t real useful out here. ’18 is a year for turnout strategies, so we need to find our “drop out” DFL voters. Let’s start with the precinct results for the DFL “high water mark” with the current districts, the ’12 general from the SOS: https://www.sos.state.mn.us/media/1364/chapter_10-minnesota_votes.pdf Find results for the districts you want, I usually print out the pages I need. We’re looking for precincts with a majority of DFL voters, so we’re going to use Colin Peterson’s and Tim Walz’s results because they’ve run in each election so we have comparable stats and they’re usually our best performing candidates. For our first cut, I’m going to pick out the SD16 precincts Colin and Tim won with at least Colin’s share of the CD7 vote, 60%. For brevity we’re only looking at precincts where Colin or Tim got over 100 votes, resulting in a list of 18 strong DFL precincts.
Next we want to find which of these precincts had a lot of DFL voters stay home in ’14 and ’16, so download the same precinct level data for ’14: https://www.sos.state.mn.us/media/1353/chapter-10_mn-votes-2015.pdf . Colin’s CD7 vote total dropped 34% between ’12 and ’14 and Tim’s in CD1 36%, so for the next cut lets look at our 18 highly DFL precincts for those with more than a 35% drop off for Colin or Tim, yielding a list of 9 precincts. But what about ’16, and shouldn’t we be comparing presidential election years? Good point, the SOS doesn’t have the “Blue Book” out for that year yet, so we’ll have to go to the bottom of the web page here for precinct level data: https://electionresults.sos.state.mn.us/20161108 . Colin and Tim’s vote totals were each down 12% from ’12 to ’16, so we’ll take another cut at our 18 strong DFL precincts and filtering out those with more than that 12% drop from ’12 to ’16. That filter gives us 14 DFL precincts with below average turnout in ’16, Two precincts that made the ’14 list improved turnout enough to miss the 2016 list, but we’ll include them in the final list anyway.
So our first cut reduced our list of 20,000 doors to knock down to about 3,000 doors in the most DFL leaning 18 precincts. The second and third cuts dropped only 2 precincts, so that filter probably isn’t worth using here. But about 80% of those doors are in the more DFL leaning 16A side, which points out that you can adjust your “cut” points to whatever suits your needs, so in 16A you might sort out a higher priority tier of precincts that went 70% or more for Colin in ’12, and 16B you might make the first cut at 50% vote for our DFL congress member in ’12 rather than the 60% we used. You can also use these methods to target precincts rich in swing voters, in higher turnout elections like 2020 we’ll be targeting them more. Even if the VAN is lacking much voter survey data for your district it will have basic public data like voting history which you can use in conjunction with these election results derived data to fine tune your campaign priorities. And if you’ve got better number crunching software than I have, much of the SOS data is available in .xls and other formats. Enjoy! In a future report I’’ll explain how to use census data to find even more DFL voters.
Respectfully submitted, Dyna Sluyter