Democratic House Targets

Before this year and as far back as anyone can remember, Democrats controlled the Kentucky House of Representatives. Even though no Presidential candidate has carried Kentucky since 1996 and Kentucky has not elected a Democrat to the US Senate since 1992, Democrats in Kentucky have fair better on the state level. However, this ended in 2016, when Democrats lost control of the House of Representatives – what many commenters consider “the last Democratic legislative chamber in the South”.

The losses were not small – Republicans picked up 17 seats, and the chamber moved from a 7 seat Democratic majority to a 28 seat Republican majority. When the new legislature went into session, many long-stymied Republican priorities were made into law – new abortion restrictions, repeal of the “prevailing wage” law, implementation of “right to work”, and a new charter school system, among many others. Many of these bills passed with very little Democratic approval.

If Democrats want to regain the chamber, they will need to pick up 15 seats in the 2018 election. This post analyzes which of those seats pose the greatest opportunities for Democrats. To build this analysis, I consolidated precinct level results which are available at the Secretary of State’s website. Unfortunately, 12 of the 120 Kentucky counties do not make precinct level results available, including Warren County (Bowling Green). This means that we do not have data for 14 of the house districts.

Pat Smith tackled this question shortly after the election, identifying the 15 seats with the closest House elections. That’s a good start. Let’s do a different type of visualization of that same data. I’ve used colors from the ColorBrewer project to show the results of the 2016 election:

The map below is shaded based on the lowest vote total attained by a Republican by district in 2016. The darker green shows the higher propensity for a district represented by a Republican to vote against Republicans – in other words, the darker the green, the higher the pickup opportunity. I’ve shaded the Democratic districts in all the same shades of yellow.

Maps may not be the best way to view districts, since they are all different sizes (although with the zoom capabilities of leaflet, this effect is mitigated). The table below orders the GOP districts by their minimum GOP Vote. There are 11 GOP districts where at least one of the Republican running for office received below 52% of the vote, and 16 districts which the worst performing Republican received less than 55% of the vote. Again, Democrats need to pick up 15 seats to regain a majority.

##    District          Representative First Elected Lowest GOP Vote
## 1       H32            Phil Moffett          2015       0.4574897
## 2       H88 Robert J. Benvenuti III          2013       0.4836519
## 3       H48             Ken Fleming          2017       0.4847878
## 4       H45                Stan Lee          2001       0.4875702
## 5       H81        C. Wesley Morgan          2017       0.4913953
## 6       H49             Dan Johnson          2017       0.5042098
## 7       H33             Jason Nemes          2017       0.5047736
## 8       H13            D.J. Johnson          2017       0.5079499
## 9       H92            John Blanton          2017       0.5152342
## 10      H11             Robby Mills          2017       0.5162112
## 11       H8           Walker Thomas          2017       0.5186909
## 12      H29          Kevin Bratcher          1997       0.5246267
## 13      H95             Larry Brown          2017       0.5286538
## 14      H24            William Reed          2017       0.5407218
## 15      H98           Danny Bentley          2017       0.5411227
## 16      H78               Mark Hart          2017       0.5443755
## 17      H91             Toby Herald          2017       0.5521296
## 18      H73          Donna Mayfield          2011       0.5667199
## 19      H62           Phillip Pratt          2017       0.5695485
## 20      H15          Melinda Prunty          2017       0.5706516
## 21      H50              Chad McCoy          2017       0.5713405
## 22      H74              David Hale          2015       0.5722841
## 23      H97           William Wells          2017       0.5771678
## 24      H96               Jill York          2009       0.5797563
## 25      H36         Jerry T. Miller          2015       0.5888918
## 26      H69             Adam Koenig          2007       0.5912111
## 27      H25           Jim DuPlessis          2015       0.6040200
## 28       H2           Richard Heath          2012       0.6047245
## 29      H58        Rob Rothenburger          2017       0.6086867
## 30      H54          Daniel Elliott          2016       0.6110925
## 31      H12          Jim Gooch, Jr.          1995       0.6119884
## 32      H23             Steve Riley          2017       0.6153557
## 33       H7           Suzanne Miles          2014       0.6178068
## 34      H63          Diane St. Onge          2013       0.6181056
## 35      H84            Chris Fugate          2017       0.6309392
## 36      H59           David Osborne          2005       0.6327010
## 37      H14            Matt Castlen          2017       0.6354728
## 38      H26          Russell Webber          2013       0.6356523
## 39       H5              Kenny Imes          2013       0.6371858
## 40      H53         James A. Tipton          2015       0.6427972
## 41      H16            Jason Petrie          2017       0.6539519
## 42      H18               Tim Moore          2007       0.6603064
## 43      H80             David Meade          2013       0.6710818
## 44      H64          Kimberly Moser          2017       0.6713157
## 45       H1             Steven Rudy          2005       0.6797558
## 46      H71          Jonathan Shell          2013       0.6818871
## 47      H66           Addia Wuchner          2005       0.6846295
## 48      H51             John Carney          2009       0.6875630
## 49      H19        Michael Meredith          2011       0.6893021
## 50       H4            Lynn Bechler          2013       0.6948615
## 51      H60             Sal Santoro          2007       0.6957661
## 52       H9           Myron Dossett          2007       0.7007115
## 53      H89             Marie Rader          1997       0.7044598
## 54      H52            Ken Upchurch          1999       0.7159728
## 55      H86        Jim Stewart, III          1997       0.7209024
## 56      H61         Brian E. Linder          2013       0.7237529
## 57      H82            Regina Bunch          2012       0.7266650
## 58      H85           Thomas Turner          1997       0.7445490
## 59      H55                Kim King          2011       0.7500670
## 60      H83          Jeffrey Hoover          1997       0.7695186
## 61      H90               Tim Couch          2003       0.7792557
## 62      H21            Bart Rowland          2012       1.0000000
## 63      H17            Jim DeCesare          2005       1.0000000
## 64      H68          Joseph Fischer          1999              NA
##    KY House Vote (GOP, 2016)
## 1                  1.0000000
## 2                  1.0000000
## 3                  0.5737605
## 4                  0.6061263
## 5                  0.5021069
## 6                  0.5042098
## 7                  0.5571086
## 8                  0.5079499
## 9                  0.5152342
## 10                 0.5162112
## 11                 0.5186909
## 12                 1.0000000
## 13                 0.5295098
## 14                 0.5407218
## 15                 0.5411227
## 16                 0.5443755
## 17                 0.5521296
## 18                 0.6040108
## 19                 0.5768565
## 20                 0.5706516
## 21                 0.6363326
## 22                 0.5722841
## 23                 0.5771678
## 24                 0.5804630
## 25                 1.0000000
## 26                 1.0000000
## 27                 0.7243304
## 28                 0.6047245
## 29                 0.6134371
## 30                 0.6687354
## 31                 0.6119884
## 32                 0.6153557
## 33                 0.6298773
## 34                 1.0000000
## 35                 0.6309392
## 36                 1.0000000
## 37                 0.6354728
## 38                 1.0000000
## 39                 0.6911610
## 40                 0.7242326
## 41                 0.6539519
## 42                 1.0000000
## 43                 1.0000000
## 44                        NA
## 45                 0.7019841
## 46                 1.0000000
## 47                 1.0000000
## 48                 1.0000000
## 49                 0.6893021
## 50                 1.0000000
## 51                 1.0000000
## 52                 1.0000000
## 53                 1.0000000
## 54                 1.0000000
## 55                 1.0000000
## 56                 0.7561360
## 57                 0.7847255
## 58                 1.0000000
## 59                 0.7500670
## 60                 1.0000000
## 61                 1.0000000
## 62                 1.0000000
## 63                 1.0000000
## 64                        NA