CCES Guide 2016

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Guide to the 2016 Cooperative Congressional
Election Survey
Data Release No. 21

Stephen Ansolabehere, PI
Harvard University

Brian Schaffner, co-PI
University of Massachusetts Amherst

Sam Luks, co-PI
YouGov

August 2017

The 2016 Cooperative Congressional Election Study was supported by the
National Science Foundation Award # 1559125.

1

Data Release 1 occurred on March 2017, and corresponds to the 2016 CCES Common Content. Data
Release 2 occurred on August 4, 2017 and corresponds to the 2016 CCES Common Content with vote
validation appended.

1

Contents
Acknowledgments

4

Referencing the Study

6

Part I

7

Introduction

7

State Sample Sizes

9

Table of AAPOR Response Rates

11

Part II

12

Sampling Methodology
Sampling and Sample Matching . . . . . . . .
Theoretical Background for Sample Matching
Sampling Frame and Target Sample . . . . . .
Stratification and Matching . . . . . . .
Weighting . . . . . . . . . . . . . . . . . . . .
Using Weights . . . . . . . . . . . . . . . . . .
Accuracy of the CCES Sample . . . . . . . . .

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Part III

23

Common Content
Sample Identifiers
Profile . . . . . .
Pre-election . . .
Post-election . .
Vote Validation .

23
23
26
56
98
126

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Part IV

129

Contextual Variables
Pre-Election Survey Contextual Variables
Post-Election Survey Contextual Variables
Senate . . . . . . . . . . . . . . . . . . . .
Governors . . . . . . . . . . . . . . . . . .
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129
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134
138
141

House . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145

Part V

163

Cross-reference

163

3

Acknowledgments
This project is the collaborative effort of 60 research teams and organizations. Individual
teams had their own principal investigators and research groups and designed their own team
surveys. The teams and their Principal Investigators are:
Table 1: Teams and Principal Investigators
Team
American University
Arizona State University
Brigham Young University
Campaign Finance Task Force
Columbia University
Duke University 1
Duke University 2
Fordham University
Florida State University
George Washington University 1
George Washington University 2
Harvard University 1
Harvard University 2
Harvard University 3/Stanford University
Indiana University 1
Indiana University 2
Louisiana State University/Skidmore College
MIT 1
MIT 2
Nazarbayev University
New York University
Notre Dame University
Notre Dame University
Reed College
Rutgers University
Texas A&M
Texas Tech/Appalachian State
Tulane University
UC Davis
UC Merced
UC Riverside
UNC Charlotte
University of Colorado
University of Delaware 1

4

Principal Investigator
Liz Suhay
Valerie Hoekstra
Chris Karpowitz, Jeremy Pope
Jeff Milyo
Alex Hertel-Fernandez
Alexandra Cooper
Alexandra Cooper
Costas Panagopoulos
Brad Gomez
John Sides
Kim Gross
Steve Ansolabehere
Steve Ansolabehere
Dustin Tingley, Mike Tomz
Chris DeSante
Ted Carmines, Chris DeSante
Kathleen Searles, Chris Mann
Charles Stewart
Andrea Campbell
Jee-Kwang Park
Pat Egan
Geoff Layman
Gary Hollibaugh
Paul Gronke
David Redlawsk
Kirby Goidel
Seth McKee, Dan Smith, Will Hicks
Mirya Holman
Chris Hare
Alex Theodoridis
Jennifer Merolla
Cherie Maestas
Jennifer Wolak
Paul Brewer
Continued on next page

Table 1 – continued from previous page
Team
Principal Investigator
University of Delaware 2
Paul Brewer
University of Delaware 3
David Wilson
University of Georgia
Keith Poole
University of Houston
Scott Clifford, Justin Kirkland
University of Illinois
Cara Wong
University of Iowa 2
Brian Lai
University of Maryland
Antoine Banks
University of Massachusetts Amherst 1
Rebecca Lisi
University of Massachusetts Amherst 2
Brian Schaffner
University of Massachusetts Boston 3
Travis Johnston
University of Miami
Joseph Uscinski
University of Michigan
Nancy Burns, Don Kinder
University of Michigan/Duke University
Nancy Burns, Ashley Jardina
University of Minnesota
Joanne Miller
University of Mississippi
Conor Dowling
University of Missouri
Jeff Milyo
University of Montreal
Marc Hooghe
University of Virginia
Adam Hughes
UT Austin 1
Daron Shaw
UT Austin 2
Brian Roberts
UT Dallas
Harold Clarke
Vanderbilt University
Cindy Kam
William and Mary
Ron Rapoport
Yale University 1
Greg Huber, Andrew Gooch
Yale University 2/Wesleyan U/U Minnesota Duluth John Henderson

Stephen Ansolabehere served as the Principal Investigator for the overall project, Brian
Schaffner and Sam Luks served as co-Principal Investigators, and Elizabeth Salazar at Harvard served as the Project Administrators. All teams contributed to the Common Content;
Stephen Ansolabehere and Brian Schaffner coordinated the development of the Common
Content questionnaire. Doug Rivers at YouGov provided general guidance for the sample
design. Special thanks to Marissa Shih of YouGov, who served as project manager for the
CCES. Thanks also to Steffen Weiss, Jason Cowden, Ruohnan Hu, Julissa Martinez, Jennifer Dechnicz, Diana Rujoiu, Mircea Dumitru, Alin Orman, Crina Voda, Alexandru Ionescu,
Madalina Batu, and Mihail Mandroc for their work organizing, preparing, and processing
the team surveys. Finally, thanks to Ivelisse Cuevas Molina, Shiro Kuriwaki, and Kattalina
Berriochoa for their work in preparing this guide.
The Institute for Quantitative Study of the Social Sciences and the Dean of the Faculty of
Arts and Sciences at Harvard provided essential research support for this project, as did each
of the universities and research organizations sponsoring a team.
5

Referencing the Study
For research that uses the Common Content, the reference follows the ICPSR protocol:
Ansolabehere, Stephen and Brian F. Schaffner, COOPERATIVE CONGRESSIONAL ELECTION STUDY, 2016: COMMON CONTENT. [Computer File]
Release 2: August 4, 2017. Cambridge, MA: Harvard University [producer]
http://cces.gov.harvard.edu
As individual teams use their datasets for publication and make their datasets available,
referencing the team content will follow the same protocol:
[Name of Team Principal Investigator], COOPERATIVE CONGRESSIONAL
ELECTION STUDY, 2016: [TEAM NAME] CONTENT. [Computer File] Release: [Date]. [Location of Team]. [producer] http://cces.gov.harvard.edu

6

Part I
Introduction
The Cooperative Congressional Election Study, or CCES, seeks to study how Americans view
Congress and hold their representatives accountable during elections, how they voted and
their electoral experiences, and how their behavior and experiences vary with political geography and social context. This study constructed a very large sample capable of capturing
variation across a wide variety of legislative constituencies. In fact, the state-level samples
are sufficiently large as to measure with a reasonable degree of precision the distribution of
voters’ preferences within most states.
The 2016 CCES involved 60 teams, yielding a Common Content sample of 64,600 cases. The
subjects for this study were recruited during the fall of 2016. Each research team purchased a
1,000 person national sample survey, conducted by YouGov of Redwood City, CA. Interviews
for the 2016 survey were conducted in two waves. The pre-election wave of the questionnaire
was in the field from September 28 to November 7; the post-election wave was in the field
from November 9 to December 14. Each survey has approximately 120 questions. For each
survey of 1,000 persons, half of the questionnaire was developed and controlled entirely by
each individual research team, and half of the questionnaire is devoted to Common Content.
The Common Content consists of the questions common to all team modules and has a
sample size equal to the total sample size of all team modules combined. Most of the 60
teams purchased 1,000 person surveys, though a few teams purchased additional cases to
increase their sample size and size of the Common Content. All cases were selected through
the Internet and YouGov constructed matched random samples for this study.
Data Release 1 occurred on March 3, 2017. Data for this study is archived and available at
the Harvard University Dataverse. A subsequent release will include vote validation for all
respondents.
The 2016 CCES is part of an on-going study. The Cooperative Congressional Election Study
formed in 2006 to study congressional elections and representation using very large scale
national surveys, building off of the 2005 MIT Public Opinion Research and Training Lab
(PORTL) study. The CCES has been conducted in every year since 2006 and has received
support from the National Science Foundation for all even-year surveys from 2010 onward.
This guide describes the methodology behind the overall study and the measures and variables developed for the Common Content of the 2016 study. There are five parts to the 2016
CCES Common Content – sample identifiers (including state and congressional district),
profile questions (largely demographic), pre-election questions, post-election questions, and
contextual data (including candidate names and parties, election results, and roll call votes).
This codebook provides question wordings, values, and frequencies presented of the variables for the 2016 Common Content dataset. Each Team Module has its own dataset and
codebook, which will be posted to the Dataverse by July, 2018.

7

The criteria for inclusion of a question in the Common Content were three-fold. First, what
questions would naturally be of interest to scholars researching Congress, representation, and
elections? Items such as approval of Congress, approval of the individual Senator or House
Member, Partisanship, Ideology, views on the economy and war, and voting behavior, as well
as demographic characteristics of voters fall into this category. Second, what questions did a
large number of teams want to include in the study? For example, a number of research teams
expressed interests in studying roll call voting behavior of members of Congress. Another
cluster of teams wanted a more extensive battery of questions on religion, which led the CCES
to expand beyond the usual questions asked by the ANES. Third, what phenomena can only
be measured with a large survey? The very large sample for the Common Content provides
the opportunity to study legislative constituencies – states and congressional districts – as
well as voters within those constituencies, to study very rare or low frequency events or
very small populations, and to measure with fairly high accuracy interactions. An example
of content included in the common for this reason is the battery of questions on problems
encountered when voting. Such problems occur at the frequency of about 2 or 3 percent, are
enough to present voting rights issues, but too small to be measured in standard surveys.

8

State Sample Sizes
Table 2: State Sample Sizes
State
FIPS
Cases
Alabama
1
792
Alaska
2
115
Arizona
4
1507
Arkansas
5
538
California
6
6021
Colorado
8
1,022
Connecticut
9
732
Delaware
10
267
District of Columbia
11
192
Florida
12
4988
Georgia
13
2062
Hawaii
15
200
Idaho
16
326
Illinois
17
2634
Indiana
18
1397
Iowa
19
688
Kansas
20
541
Kentucky
21
933
Louisiana
22
689
Maine
23
329
Maryland
24
1200
Massachusetts
25
1442
Michigan
26
2110
Minnesota
27
1083
Mississippi
28
409
Missouri
29
1309
Montana
30
191
Nebraska
31
370
Nevada
32
695
New Hampshire
33
376
New Jersey
34
1831
New Mexico
35
383
New York
36
4320
North Carolina
37
2004
North Dakota
38
126
Ohio
39
2698
Oklahoma
40
624
Oregon
41
1022
Continued on next page
9

Table 2 – continued from previous page
State
FIPS
Cases
Pennsylvania
42
3524
Rhode Island
44
212
South Carolina
45
857
South Dakota
46
167
Tennessee
47
1215
Texas
48
4462
Utah
49
531
Vermont
50
132
Virginia
51
2008
Washington
53
1444
West Virginia
54
429
Wisconsin
55
1354
Wyoming
56
99

10

Table of AAPOR Outcome Rates
Common
(YouGov
Sample)

Common
(External
Sample)

Common
(Total)

Interview (Category 1)
Complete
Partial

53939
7177

52443
22692

106382
29869

Eligible, non-interview (Category 2)
Refusal

2519

5210

7729

Unknown eligibility, non-interview (Category 3)
No answer

64997

557367

622364

Not eligible (Category 4)
Out of sample – other strata than originally coded

982

43822

44804

Total email addresses used

129614

681534

811148

I=Complete Interviews (1.1)
P=Partial Interviews (1.2)
R=Refusal and breakoff (2.1)
NC=Non Contact (2.2)
O=Other (2.0, 2.3)
Estimate of e is based on proportion of eligible households among all numbers for
which a definitive determination of status was obtained (a very conservative
estimate). This will be used if you do not enter a different estimate in line 62.
UH=Unknown household (3.1)
UO=Unknown other (3.2, 3.9)

53939
7177
2519
0
0
0.985

52443
22692
5210
0
0
0.647

106382
29869
7729
0
0
0.763

64997
0

557367
0

622364
0

0.419

0.082

0.139

0.475

0.118

0.178

0.423

0.119

0.172

0.479

0.170

0.220

0.848

0.653

0.739

0.960

0.935

0.946

0.848

0.653

0.739

0.960

0.935

0.946

0.020

0.008

0.010

0.020

0.012

0.012

0.040

0.065

0.054

0.495

0.126

0.188

0.499

0.182

0.233

1.000

1.000

1.000

Response Rate 1
I/(I+P) + (R+NC+O) + (UH+UO)
Response Rate 2
(I+P)/(I+P) + (R+NC+O) + (UH+UO)
Response Rate 3
I/((I+P) + (R+NC+O) + e(UH+UO))
Response Rate 4
(I+P)/((I+P) + (R+NC+O) + e(UH+UO))
Cooperation Rate 1
I/(I+P)+R+O)
Cooperation Rate 2
(I+P)/((I+P)+R+O))
Cooperation Rate 3
I/((I+P)+R))
Cooperation Rate 4
(I+P)/((I+P)+R))
Refusal Rate 1
R/((I+P)+(R+NC+O) + UH + UO))
Refusal Rate 2
R/((I+P)+(R+NC+O) + e(UH + UO))
Refusal Rate 3
R/((I+P)+(R+NC+O))
Contact Rate 1
(I+P)+R+O / (I+P)+R+O+NC+ (UH + UO)
Contact Rate 2
(I+P)+R+O / (I+P)+R+O+NC + e(UH+UO)
Contact Rate 3
(I+P)+R+O / (I+P)+R+O+NC

Part II
Sampling Methodology
The 2016 CCES survey was conducted over the Internet by YouGov. The Common Content was asked of 64,600 adults interviewed in October 2016 (for pre-election data), and
in November 2016 (for post-election data). The sampling method uses YouGov?s matched
random sample methodology.

Sampling and Sample Matching
Sample matching is a methodology for selection of “representative” samples from nonrandomly selected pools of respondents. It is ideally suited for Web access panels, but
could also be used for other types of surveys, such as phone surveys. Sample matching starts
with an enumeration of the target population. For general population studies, the target
population is all adults, and can be enumerated through the use of the decennial Census or
a high quality survey, such as the American Community Survey. In other contexts, this is
known as the sampling frame, though, unlike conventional sampling, the sample is not drawn
from the frame. Traditional sampling, then, selects individuals from the sampling frame at
random for participation in the study. This may not be feasible or economical as the contact
information, especially email addresses, is not available for all individuals in the frame and
refusals to participate increase the costs of sampling in this way.
Sample selection using the matching methodology is a two-stage process. First, a random
sample is drawn from the target population. We call this sample the target sample.
Details on how the target sample is drawn are provided below, but the essential idea is
that this sample is a true probability sample and thus representative of the frame from
which it was drawn. However, YouGov is not able to contact these individuals directly.
Therefore, the second step is that for each member of the target sample, we select one or more
matching members from our pool of opt-in respondents. This is called the matched sample.
Matching is accomplished using a large set of variables that are available in consumer and
voter databases for both the target population and the opt-in panel.
The purpose of matching is to find an available respondent who is as similar as possible to
the selected member of the target sample. The result is a sample of respondents who have
the same measured characteristics as the target sample. Under certain conditions, described
below, the matched sample will have similar properties to a true random sample. That is,
the matched sample mimics the characteristics of the target sample. It is, as far as we can
tell, representative of the target population (because it is similar to the target sample).
When choosing the matched sample, it is necessary to find the closest matching respondent
in the panel of opt-ins to each member of the target sample. Various types of matching
could be employed: exact matching, propensity score matching, and proximity matching.

12

Exact matching is impossible if the set of characteristics used for matching is large and,
even for a small set of characteristics, requires a very large panel (to find an exact match).
Propensity score matching has the disadvantage of requiring estimation of the propensity
score. Either a propensity score needs to be estimated for each individual study, so the
procedure is automatic, or a single propensity score must be estimated for all studies. If
large numbers of variables are used the estimated propensity scores can become unstable
and lead to poor samples.
YouGov employs the proximity matching method. For each variable used for matching,
we define a distance function, d(x,y), which describes how “close” the values x and y are
on a particular attribute. The overall distance between a member of the target sample
and a member of the panel is a weighted sum of the individual distance functions on each
attribute. The weights can be adjusted for each study based upon which variables are
thought to be important for that study, though, for the most part, we have not found the
matching procedure to be sensitive to small adjustments of the weights. A large weight, on
the other hand, forces the algorithm toward an exact match on that dimension.

Theoretical Background for Sample Matching
To understand better the sample matching methodology, it may be helpful to think of the
target sample as a simple random sample (SRS) from the target population. The SRS yields
unbiased estimates because the selection mechanism is unrelated to particular characteristics
of the population. The efficiency of the SRS can be improved by using stratified sampling
in place of simple random sampling. SRS is generally less efficient than stratified sampling
because the size of population subgroups varies in the target sample.
Stratified random sampling partitions the population into a set of categories that are believed to be more homogeneous than the overall population, called strata. For example, we
might divide the population into race, age, and gender categories. The cross-classification
of these three attributes divides the overall population into a set of mutually exclusive and
exhaustive groups or strata. Then an SRS is drawn from each category and the combined
set of respondents constitutes a stratified sample. If the number of respondents selected in
each strata is proportional to their frequency in the target population, then the sample is
self-representing and requires no additional weighting.
The intuition behind sample matching is analogous to stratified sampling: if respondents
who are similar on a large number of characteristics tend to be similar on other items for
which we lack data, then substituting one for the other should have little impact upon the
sample. This intuition can be made rigorous under certain assumptions.
Assumption 1: Ignorability. Panel participation is assumed to be ignorable with respect
to the variables measured by survey conditional upon the variables used for matching. What
this means is that if we examined panel participants and non-participants who have exactly
the same values of the matching variables, then on average there would be no difference
between how these sets of respondents answered the survey. This does not imply that panel
participants and non-participants are identical, but only that the differences are captured by
13

the variables used for matching. Since the set of data used for matching is quite extensive,
this is, in most cases, a plausible assumption.
Assumption 2: Smoothness. The expected value of the survey items given the variables
used for matching is a smooth function. Smoothness is a technical term meaning that the
function is continuously differentiable with bounded first derivative. In practice, this means
that that the expected value function does not have any kinks or jumps.
Assumption 3: Common Support. The variables used for matching need to have a
distribution that covers the same range of values for panelists and non-panelists. More
precisely, the probability distribution of the matching variables must be bounded away from
zero for panelists on the range of values (known as the support) taken by the non-panelists.
In practice, this excludes attempts to match on variables for which there are no possible
matches within the panel. For instance, it would be impossible to match on computer usage
because there are no panelists without some experience using computers.
Under Assumptions 1-3, it can be shown that if the panel is sufficiently large, then the
matched sample provides consistent estimates for survey measurements. The sampling variances will depend upon how close the matches are if the number of variables used for matching
is large. In this study, over 150,000 respondents to YouGov’s Internet surveys were used for
the pool from which to construct the matches for the final sample.

Sampling Frame and Target Sample
YouGov employed a combination of two frames. The first stage used a sampling frame of
U.S. Citizens from the the 2012 American Community survey, including data on age, race,
gender, education, marital status, number of children under 18, family income, employment
status, citizenship, state, and metropolitan area. The frame was constructed by stratified
sampling from the full 2012 ACS sample with selection within strata by weighted sampling
with replacement (using the person weights on the public use file). Data on congressional
districts was matched to this frame from Census tables. Data on voter registration status,
turnout, and vote choice was matched from the 2012 Current Population survey and 2012
national and state exit polls.
The second stage used a sampling frame of U.S. Citizens from the 2010 American Community
Survey with a similar set of variables. Data on reported 2010 voter registration and turnout
from the November 2010 Current Population Survey and on reported 2008 voter registration
and turnout from the November 2008 Current Population Survey was matched to this frame
using a weighted Euclidean distance metric. Data on religion, church attendance, born again
or evangelical status, news interest, party identification and ideology was matched from the
2007 Pew U.S. Religious Landscape Survey. The target sample was selected by stratification
by age, race, gender, education, and voter registration, and by simple random sampling
within strata.

14

Stratification and Matching
The sample drawn for the CCES were chosen from the YouGov Panel, along with the MyPoints, Research Now, SSI, and GMI panels using a five-way cross-classification (age x gender
x race x education x state). All respondents who completed the pre-election survey were
re-invited to the post-election survey. The final set of completed pre-election interviews
(numbering approximately 87,389, after quality controls were applied) were then matched
to the target frame, using a weighted Euclidean distances metric.
The following distance function was used for the match:

fmatch <- function(target, pool) {
25 * (abs(target$age - pool$age)/20) + #4
5 * (target$race3 != pool$race3) + #3
8 * (abs(target$educyrs - pool$educyrs)/4) + #2.5
10 * (I(target$educyrs == 10) != I(pool$educyrs == 10)) + #2.5
10 * (I(target$educyrs == 12) != I(pool$educyrs == 12)) + #2.5
2 * (I(target$educyrs < 14) * I(target$race3 != 1) != I(pool$educyrs < 14) * I(pool
4 * (target$gender != pool$gender) +
(mat.employ[target$employ, pool$employ]/3) +
(2 * mat.ideo5[target$ideo5, pool$ideo5]) +
(3 * mat.pid5b[target$pid5b, pool$pid5b]) +
1 * (mat.bornagain[target$bornagain, pool$bornagain]) +
2 * (I(target$ideo5 \%in\% c(1,5)) != I(pool$ideo5 \%in\% c(1,5))) +
15 * (target$votereg != pool$votereg) +
25 * (target$tookpost != pool$tookpost)
}
• Gender: respondent’s gender
• Age: respondent’s age in years
• Race3: categorical race variable with categories white/other, black, and Hispanic/Latino
• Educyrs: years of education
• Newsint: interest in politics
• Employ: employment status
• Bornagain: evangelical or born again status
• Pid5b: baseline party identification (from July 2012) with categories, Democrat, Independent leaning Democrat, Independent, Independent leaning Republican, Republican,
and other
• Ideo5: 5-point ideology
• Tookpost: respondent took both waves of the survey
For unordered variables, matrices of distances were used, as indicated above.
15

Weighting
For each team and the common content, the matched cases were then weighted to the
sampling frame using entropy balancing. The sample is weighted to adjust for any remaining
imbalance that exists among the matched sample. Such imbalance results from the fact
that the closest match for a particular individual from the target sample is not necessarily a
perfect match across all demographics. The matched cases and the frame were combined and
the combined cases were balanced on multiple moment conditions. The moment conditions
included age, gender, education, race, voter registration, ideology, baseline party ID, born
again status, political interest, plus their interactions. The resultant weights were then
post-stratified by age, gender, education, race, and voter registration status, as needed.
Additionally, for the common content, the weights were post-stratified across states and
statewide political races. Weights larger than 15 in the common content were trimmed and
the final weights normalized to equal sample size. The team data weights were trimmed at
7.

Using Weights
Note that the 2016 CCES Common Content includes weights for both the Pre Election
and Post Election waves of the study. We recommend the use of “commonweight vv post”
any time researchers use variables from the Post Election wave of the study. Otherwise,
researchers should use the “commonweight vv” variable to weight the data.
Note that the dataset also includes the weights “commonweight” and “commonweight post”.
These weights were calculated before the vote validation, and are therefore somewhat less
desirable than “commonweight vv post” and “commonweight vv”. Nevertheless, we include
them in the dataset for scholars who wish to replicate analyses they conducted with the data
posted prior to the vote validation.
Finally, “commonweight vv lgbt” should be used for any analyses that make use of variables
“sexuality” or “trans”.

Accuracy of the CCES Sample
The large sample of the CCES provides allows us to validate the sampling by comparing the
state level samples within the survey with the actual election results.
Comparison of the CCES with actual election results provides internal checks on the quality of the sample and responses. Specifically, we can aggregate (using the weights commonweights in the 2016 study) to the state level questions on vote for President (2016
CC16 410a), Governor (2016 CC16 411), U.S. Senator (2016 CC16 413c), and other statewide
offices (2016 CC16 413a and CC16 413b). The overall relationship between Democratic share
of the actual vote and Democratic share of the survey reported vote is shown in the Figures
1 - 5. For example, in Figure 1 we see the CCES estimate of the two-party vote for president
16

0

.2

CCES Estimate
.4
.6

.8

1

along with 95% confidence intervals constructed robust standard errors to account for the
sampling weights. For each state, the presidential vote estimate falls along the 45-degree line,
indicating that the CCES estimate of the presidential vote share is very close to the actual
vote share for that state. The subsequent plots show the same relationships for other offices.
In most cases, the actual two-party vote share falls within the 95% confidence intervals for
the CCES estimates.

0

.2

.4
.6
Presidential Vote

.8

1

Figure 1: Presidential Vote Accuracy Plot, 2016
The difference between the Democratic percent of the two party vote for each office in the
sample and the actual results measures the error. That error is due to sampling and to bias.
The simple difference is the Democratic party bias, the squared error is the mean squared
error, and the square root of the MSE is a measure of the standard error. The average (across
states) MSE, Root MSE, and Democratic Bias for each office are shown in Table 3. The
partisan bias in the sample is less than one percentage point for all offices except Secretary
of State. The Mean Squared Error is approximately the same size as the theoretically
derived Sampling Standard Error, indicating that there is no evidence of systematic bias or
of inflation of the precision of the estimates. The overall relationship between Democratic
share of the actual vote and Democratic share of the survey reported vote is shown in the
Figures 1-5. .
17

1
.8
CCES Estimate
.4
.6
.2
0

0

.2

.4
.6
Senate Vote

.8

Figure 2: Senate Vote Accuracy Plot, 2016

18

1

1
.8
CCES Estimate
.4
.6
.2
0

0

.2

.4
.6
Gubernatorial Vote

.8

Figure 3: Gubernatorial Vote Accuracy Plot, 2016

19

1

1
.8
CCES Estimate
.4
.6
.2
0

0

.2

.4
.6
Attorney General Vote

.8

Figure 4: Attorney General Vote Accuracy Plot, 2016

20

1

1
.8
CCES Estimate
.4
.6
.2
0

0

.2

.4
.6
Secretary of State Vote

.8

Figure 5: Secretary of State Vote Accuracy Plot, 2016

21

1

The square root of the Mean Squared Error is an alternative estimate of the standard error.
The usual estimate assumes that the only source of error comes from random sampling.
The variance of the error across surveys (in this case states) includes possible measurement
error, such as that caused by question wording, and sample biases, caused by non-response
or misreporting.
Table 3: Survey Accuracy in 2016 CCES Sample for Statewide Offices
Avg.
Root
Avg.
Expected
Error
MSE
Freq
St. Error
Office
(DEM Bias) (St. Error) (Responses) (Avg. Sample)
President
0.25%
1.59%
786
1.78
Governor
-0.40%
4.05%
527
2.17
US Senator
-0.20%
7.38%
822
1.74
Attorney General
0.51%
4.27%
798
1.76
Secretary of State
-3.05%
7.32%
798
1.76

22

Part III
Common Content
A tabulation of responses for each of the variables in the dataset are provided here. Contextual variables, i.e. variables that are not survey questions and were either added as text to fill
in questions or added later, are tabulated in Part IV. The only exception to this separation
is the vote validation variables, which we include in this section.
All counts are unweighted, raw counts. The tables distinguish between subtypes of missing
data: missing due to respondent skipping and missing due to the question not being asked to
the respondent (e.g. due to branching), although some inaccurate labeling within the missing
data category may exist. Please consult the questionnaire to see the branching structure of
the questions asked.
Variables with a warning mark ( ) are questions that were only asked of a non-random
subset of the sample. Please make a note of this when analyzing these variable.

Sample Identifiers
commonweight

Min.
1st Qu.
Median
Mean
3rd Qu.
Max.
commonweight post

Min.
1st Qu.
Median
Mean
3rd Qu.
Max.
NA’s

Common Weight

0.00
0.37
0.70
1.00
1.16
15.00
Common Weight (Post)

0.00
0.38
0.64
1.00
1.07
15.00
11701.00

23

inputstate

Pre Election State Name

cdid113

Pre Election 113th/114th Congressional District Number

cdid115

Pre Election 115th Congressional District Number

countyfips

Pre Election County FIPS Code

countyname

Pre Election County Name

inputstate post

Post Election State Name

cdid113 post

Post Election 113th/114th Congressional District Number

cdid115 post

Post Election 115th Congressional District Number

24

countyfips post

Post Election County FIPS Code

countyname post

Post Election County Name

25

Profile
birthyr

Birth Year

In what year were you born?
Min.
1st Qu.
Median
Mean
3rd Qu.
Max.
gender

1917.00
1955.00
1967.00
1968.12
1983.00
1998.00
Gender

Are you male or female?
29531
35069
0
0

1
2
8
9

Male
Female
skipped
not asked

sexuality

Sexual Orientation

With which group do you most closely identify?
32152
453
1228
1185
399
803
27380
0
1000

1
2
3
4
5
6
8
9
-1

Heterosexual / straight
Lesbian / gay woman
Gay man
Bisexual
Other
Prefer not to say
skipped
not asked
No Data

26

trans

Transgender

Have you ever undergone any part of a process (including any thought or action) to change
your gender / perceived gender from the one you were assigned at birth? This may include
steps such as changing the type of clothes you wear, name you are known by or undergoing
surgery.
458
30142
388
32612
0
1000

1
2
3
8
9
-1

Yes
No
Prefer not to say
skipped
not asked
No Data

educ

Education

What is the highest level of education you have completed?
1971
16381
15685
7169
14884
8510
0
0

1
2
3
4
5
6
8
9

No HS
High school graduate
Some college
2-year
4-year
Post-grad
skipped
not asked

edloan

Student debtor

Are you currently responsible for paying off a student loan? (Please indicate yes even if your
student loan is currently in deferment.)
10752
42037
0
0
0
110
0
0

1
2
97
98
99
998
999
-1

Yes
No
Other
Don’t know
None of these
skipped
not asked
No Data

27

votereg

Voter Registration Status

Are you registered to vote?
57066
6677
857
0
0

1
2
3
8
9

Yes
No
Don’t know
skipped
not asked

race

Race

What racial or ethnic group best describes you?
46289
7926
5238
2278
522
135
1452
760
0
0

1
2
3
4
5
8
6
7
98
99

White
Black
Hispanic
Asian
Native American
Middle Eastern
Mixed
Other
skipped
not asked

multrace 1

White

Please indicate the racial or ethnic groups that best describe you? (select all that apply)
21058
241
0
43301

1
2
8
9

selected
not selected
skipped
not asked

multrace 2

Black

Please indicate the racial or ethnic groups that best describe you? (select all that apply)
2264
546
0
61790

1
2
8
9

selected
not selected
skipped
not asked

28

multrace 3

Hispanic

Please indicate the racial or ethnic groups that best describe you? (select all that apply)
1363
570
0
62667

1
2
8
9

selected
not selected
skipped
not asked

multrace 4

Asian

Please indicate the racial or ethnic groups that best describe you? (select all that apply)
661
660
0
63279

1
2
8
9

selected
not selected
skipped
not asked

multrace 5

Native American

Please indicate the racial or ethnic groups that best describe you? (select all that apply)
779
648
0
63173

1
2
8
9

selected
not selected
skipped
not asked

multrace 8

Middle Eastern

Please indicate the racial or ethnic groups that best describe you? (select all that apply)
119
788
0
63693

1
2
8
9

selected
not selected
skipped
not asked

29

multrace 97

Other

Please indicate the racial or ethnic groups that best describe you? (select all that apply)
10
0
0
64590

1
2
8
9

selected
not selected
skipped
not asked

multrace 98

Don’t know

Please indicate the racial or ethnic groups that best describe you? (select all that apply)
423
769
0
63408

1
2
8
9

selected
not selected
skipped
not asked

multrace 99

None of these

Please indicate the racial or ethnic groups that best describe you? (select all that apply)
0
0
0
64600

1
2
8
9

selected
not selected
skipped
not asked

hispanic

Hispanic

Are you of Spanish, Latino, or Hispanic origin or descent?
2257
56893
212
5238

1
2
8
9

Yes
No
skipped
not asked

30

Hispanic origin 1

No Country in Particular

From which country or region do you trace your heritage or ancestry? (Check all that apply)
93
7456
0
57051

1
2
8
9

selected
not selected
skipped
not asked

Hispanic origin 2

United States

From which country or region do you trace your heritage or ancestry? (Check all that apply)
2780
4769
0
57051

1
2
8
9

selected
not selected
skipped
not asked

Hispanic origin 3

Mexico

From which country or region do you trace your heritage or ancestry? (Check all that apply)
2804
4745
0
57051

1
2
8
9

selected
not selected
skipped
not asked

Hispanic origin 4

Puerto Rico

From which country or region do you trace your heritage or ancestry? (Check all that apply)
1186
6363
0
57051

1
2
8
9

selected
not selected
skipped
not asked

31

Hispanic origin 5

Cuba

From which country or region do you trace your heritage or ancestry? (Check all that apply)
471
7078
0
57051

1
2
8
9

selected
not selected
skipped
not asked

Hispanic origin 6

Dominican Republic

From which country or region do you trace your heritage or ancestry? (Check all that apply)
217
7332
0
57051

1
2
8
9

selected
not selected
skipped
not asked

Hispanic origin 7

South America

From which country or region do you trace your heritage or ancestry? (Check all that apply)
619
6930
0
57051

1
2
8
9

selected
not selected
skipped
not asked

Hispanic origin 8

Central America

From which country or region do you trace your heritage or ancestry? (Check all that apply)
344
7205
0
57051

1
2
8
9

selected
not selected
skipped
not asked

32

Hispanic origin 9

Caribbean

From which country or region do you trace your heritage or ancestry? (Check all that apply)
77
7472
0
57051

1
2
8
9

selected
not selected
skipped
not asked

Hispanic origin 10

Spain

From which country or region do you trace your heritage or ancestry? (Check all that apply)
1080
6469
0
57051

1
2
8
9

selected
not selected
skipped
not asked

Hispanic origin 11

Other

From which country or region do you trace your heritage or ancestry? (Check all that apply)
515
7034
0
57051

1
2
8
9

selected
not selected
skipped
not asked

Hispanic origin 12

I am not of Latino, Hispanic or Spanish Heritage

From which country or region do you trace your heritage or ancestry? (Check all that apply)
42
7507
0
57051

1
2
8
9

selected
not selected
skipped
not asked

33

Asian origin 1

No Country in Particular

From which country or region do you trace your heritage or ancestry? (Check all that apply)
27
2566
0
62007

1
2
8
9

selected
not selected
skipped
not asked

Asian origin 2

United States

From which country or region do you trace your heritage or ancestry? (Check all that apply)
631
1962
0
62007

1
2
8
9

selected
not selected
skipped
not asked

Asian origin 3

China

From which country or region do you trace your heritage or ancestry? (Check all that apply)
711
1882
0
62007

1
2
8
9

selected
not selected
skipped
not asked

Asian origin 4

Japan

From which country or region do you trace your heritage or ancestry? (Check all that apply)
288
2305
0
62007

1
2
8
9

selected
not selected
skipped
not asked

34

Asian origin 5

India

From which country or region do you trace your heritage or ancestry? (Check all that apply)
384
2209
0
62007

1
2
8
9

selected
not selected
skipped
not asked

Asian origin 6

Philippines

From which country or region do you trace your heritage or ancestry? (Check all that apply)
330
2263
0
62007

1
2
8
9

selected
not selected
skipped
not asked

Asian origin 7

Taiwan

From which country or region do you trace your heritage or ancestry? (Check all that apply)
150
2443
0
62007

1
2
8
9

selected
not selected
skipped
not asked

Asian origin 8

Korea

From which country or region do you trace your heritage or ancestry? (Check all that apply)
197
2396
0
62007

1
2
8
9

selected
not selected
skipped
not asked

35

Asian origin 9

Vietnam

From which country or region do you trace your heritage or ancestry? (Check all that apply)
147
2446
0
62007

1
2
8
9

selected
not selected
skipped
not asked

Asian origin 10

Pakistan

From which country or region do you trace your heritage or ancestry? (Check all that apply)
41
2552
0
62007

1
2
8
9

selected
not selected
skipped
not asked

Asian origin 11

Hmong

From which country or region do you trace your heritage or ancestry? (Check all that apply)
14
2579
0
62007

1
2
8
9

selected
not selected
skipped
not asked

Asian origin 12

Cambodia

From which country or region do you trace your heritage or ancestry? (Check all that apply)
18
2575
0
62007

1
2
8
9

selected
not selected
skipped
not asked

36

Asian origin 13

Thailand

From which country or region do you trace your heritage or ancestry? (Check all that apply)
52
2541
0
62007

1
2
8
9

selected
not selected
skipped
not asked

Asian origin 14

Other

From which country or region do you trace your heritage or ancestry? (Check all that apply)
227
2366
0
62007

1
2
8
9

selected
not selected
skipped
not asked

Asian origin 15

I am not of Asian Heritage

From which country or region do you trace your heritage or ancestry? (Check all that apply)
12
2581
0
62007

1
2
8
9

selected
not selected
skipped
not asked

employ

Employment Status

Which of the following best describes your current employment status?
27908
6956
435
3583
12860
3854
4852
2961
1191
0
0

1
2
3
4
5
6
7
8
9
98
99

Full-time
Part-time
Temporarily laid off
Unemployed
Retired
Permanently disabled
Homemaker
Student
Other
skipped
not asked

37

hadjob

hadjob

At any time over the past five years, have you had a job?
13502
16189
51
34858

1
2
8
9

Yes
No
skipped
not asked

phone

Phone service

Thinking about your phone service, do you have ...?
17413
12503
1314
240
33130
0

1
2
3
4
8
9

Both
Cell only
Landline
No phone
skipped
not asked

internethome

Internet Access at Home

What best describes the access you have to the internet at home?
60782
968
2653
197
0

1
2
3
8
9

Broadband
Dial-up
None
skipped
not asked

internetwork

Internet access at work

What best describes the access you have to the internet at work (or at school)?
39317
800
23236
1247
0

1
2
3
8
9

Broadband
Dial-up
None
skipped
not asked

38

marstat

Marital Status

What is your marital status?
34495
1021
6715
2928
16550
2835
56
0

1
2
3
4
5
6
8
9

Married
Separated
Divorced
Widowed
Single
Domestic partnership
skipped
not asked

pid7

7 point Party ID

pid7text
16251
8618
8479
6814
6270
5554
10493
2067
34
20

1
2
7
6
3
5
4
8
98
99

Strong Democrat
Not very strong Democrat
Strong Republican
Not very strong Republican
Lean Democrat
Lean Republican
Independent
Not sure
skipped
not asked

pid3

3 point party ID

Generally speaking, do you think of yourself as a ...?
24881
15300
18238
2379
3782
20
0

1
2
3
4
5
8
9

Democrat
Republican
Independent
Other
Not sure
skipped
not asked

39

ideo5

Ideology

In general, how would you describe your own political viewpoint?
5827
12555
22040
14351
5042
4748
37
0

1
2
3
4
5
6
8
9

Very liberal
Liberal
Moderate
Conservative
Very conservative
Not sure
skipped
not asked

pew bornagain

Born Again (Pew version)

Would you describe yourself as a born-again or evangelical Christian, or not?
18186
46371
43
0

1
2
8
9

Yes
No
skipped
not asked

pew religimp

Importance of religion (Pew version)

How important is religion in your life?
23864
17275
9998
13429
34
0

1
2
3
4
8
9

Very important
Somewhat important
Not too important
Not at all important
skipped
not asked

40

pew churatd

Church attendance (Pew version)

Aside from weddings and funerals, how often do you attend religious services?
5101
11521
5332
9338
14708
17860
707
33
0

1
2
3
4
5
6
7
8
9

More than once a week
Once a week
Once or twice a month
A few times a year
Seldom
Never
Don’t know
skipped
not asked

pew prayer

Frequency of Prayer (Pew version)

People practice their religion in different ways. Outside of attending religious services, how
often do you pray?
17283
9929
8095
1859
4521
9686
11714
1447
66
0

1
2
3
4
5
6
7
8
98
99

Several times a day
Once a day
A few times a week
Once a week
A few times a month
Seldom
Never
Don’t know
skipped
not asked

41

religpew

Religion

What is your present religion, if any?
22888
13880
870
362
1546
436
621
299
4025
3993
11986
3621
73
0

1
2
3
4
5
6
7
8
9
10
11
12
98
99

Protestant
Roman Catholic
Mormon
Eastern or Greek Orthodox
Jewish
Muslim
Buddhist
Hindu
Atheist
Agnostic
Nothing in particular
Something else
skipped
not asked

religpew protestant

Protestant Church

To which Protestant church or group do you belong?
7178
3221
4906
2412
1517
1543
1003
832
536
216
194
230
300
1314
39198
0

1
2
3
4
5
6
7
8
9
10
11
12
13
90
98
99

Baptist
Methodist
Nondenominational or Independent Church
Lutheran
Presbyterian
Pentecostal
Episcopalian
Church of Christ or Disciples of Christ
Congregational or United Church of Christ
Holiness
Reformed
Adventist
Jehovah’s Witness
Something else
skipped
not asked

42

religpew baptist

Baptist Church

To which Baptist church do you belong, if any?
2858
608
275
52
1100
124
386
76
440
453
1241
56987
0

1
2
3
4
5
6
7
8
9
10
90
98
99

Southern Baptist Convention
American Baptist Churches in USA
National Baptist Convention
Progressive Baptist Convention
Independent Baptist
Baptist General Conference
Baptist Missionary Association
Conservative Baptist Assoc. of America
Free Will Baptist
General Association of Regular Baptists
Other Baptist
skipped
not asked

religpew methodist

Methodist Church

To which Methodist church do you belong, if any?
2969
124
142
48
62
250
61005
0

1
2
3
4
5
90
98
99

United Methodist Church
Free Methodist Church
African Methodist Episcopal
African Methodist Episcopal Zion
Christian Methodist Episcopal Church
Other Methodist Church
skipped
not asked

43

religpew nondenom

Nondenominational or Independent Church

To which kind of nondenominational or independent church do you belong, if any?
2058
321
395
475
1679
1078
58594
0

1
2
3
4
5
90
98
99

Nondenominational evangelical
Nondenominational fundamentalist
Nondenominational charismatic
Interdenominational
Community church
Other
skipped
not asked

religpew lutheran

Lutheran Church

To which Lutheran church do you belong?
1052
863
203
480
62002
0

1
2
3
4
8
9

Evangelical Lutheran Church in America (ELCA)
Lutheran Church, Missouri Synod
Lutheran Church, Wisconsin Synod
Other Lutheran Church
skipped
not asked

religpew presby

Presbyterian Church

To which Presbyterian church do you belong?
840
343
36
27
51
152
359
62792
0

1
2
3
4
5
6
90
98
99

Presbyterian Church USA
Presbyterian Church in America
Associate Reformed Presbyterian
Cumberland Presbyterian Church
Orthodox Presbyterian
Evangelical Presbyterian Church
Other Presbyterian Church
skipped
not asked

44

religpew pentecost

Pentecostal Church

To which Pentecostal church do you belong?
583
96
61
194
111
180
26
40
108
430
62771
0

1
2
3
4
5
6
7
8
9
90
98
99

Assemblies of God
Church of God Cleveland TN
Four Square Gospel
Pentecostal Church of God
Pentecostal Holiness Church
Church of God in Christ
Church of God of the Apostolic Faith
Assembly of Christian Churches
Apostolic Christian
Other Pentecostal Church
skipped
not asked

religpew episcop

Episcopal Church

To which Episcopalian church do you belong?
839
138
15
18
103
63487
0

1
2
3
4
90
98
99

Episcopal Church in the USA
Anglican Church (Church of England)
Anglican Orthodox Church
Reformed Episcopal Church
Other Episcopalian or Anglican Church
skipped
not asked

religpew congreg

Congregational Church

To which congregational church do you belong?
513
55
33
106
63893
0

1
2
3
90
98
99

United Church of Christ
Conservative Congregational Christian
National Association of Congregational Christians
Other Congregational
skipped
not asked

45

religpew holiness

Holiness Church

To which Holiness church do you belong?
42
12
8
6
26
4
207
64295
0

1
2
3
4
5
6
90
98
99

Church of the Nazarene
Wesleyan Church
Free Methodist Church
Christian and Missionary Alliance
Church of God (Anderson, Indiana)
Salvation Army, American Rescue workers
Other Holiness
skipped
not asked

religpew reformed

Reformed Church

To which Reformed church do you belong?
84
88
95
64333
0

1
2
90
98
99

Reformed Church in America
Christian Reformed Church
Other Reformed
skipped
not asked

religpew catholic

Catholic Church

To which Catholic church do you belong?
13725
138
47
177
425
365
49723
0

1
2
3
4
5
90
98
99

Roman Catholic Church
National Polish Catholic Church
Greek-rite Catholic
Armenian Catholic
Old Catholic
Other Catholic
skipped
not asked

46

religpew mormon

Mormon Church

To which Mormon church do you belong?
906
36
8
63650
0

1
2
90
98
99

The Church of Jesus Christ of Latter-day Saints
Community of Christ
Other Mormon
skipped
not asked

religpew orthodox

Orthodox Church

To which Orthodox church do you belong?
152
85
64
21
52
16
35
64175
0

1
2
3
4
5
6
90
98
99

Greek Orthodox
Russian Orthodox
Orthodox Church in America
Armenian Orthodox
Eastern Orthodox
Serbian Orthodox
Other Orthodox
skipped
not asked

religpew jewish

Jewish Group

To which Jewish group do you belong?
801
498
146
47
218
62890
0

1
2
3
4
90
98
99

Reform
Conservative
Orthodox
Reconstructionist
Other
skipped
not asked

47

religpew muslim

Muslim Group

To which Muslim group do you belong?
289
45
78
59
64129
0

1
2
3
90
98
99

Sunni
Shia
Nation of Islam (Black Muslim)
Other Muslim
skipped
not asked

religpew buddhist

Buddhist group

To which Buddhist group do you belong?
143
360
116
184
63797
0

1
2
3
90
98
99

Theravada (Vipassana) Buddhism
Mahayana (Zen) Buddhism
Vajrayana (Tibetan) Buddhism
Other Buddhist
skipped
not asked

religpew hindu

Hindu Group

With which of the following Hindu groups, if any, do you identify with most closely?
152
58
35
75
64280
0

1
2
3
90
98
99

Vaishnava Hinduism
Shaivite Hinduism
Shaktism Hinduism
Other Hindu
skipped
not asked

child18

Parent of Young Children

Are you the parent or guardian of any children under the age of 18?
17760
46722
118
0

1
2
8
9

Yes
No
skipped
not asked

48

child18num

Min.
1st Qu.
Median
Mean
3rd Qu.
Max.
NA’s

Number of Young Children

1.00
1.00
2.00
1.91
2.00
20.00
47244.00

newsint

Political Interest

Some people seem to follow what’s going on in government and public affairs most of the
time, whether there’s an election going on or not. Others aren’t that interested. Would you
say you follow what’s going on in government and public affairs ...
30328
18858
9158
4412
1791
53
0

1
2
3
4
7
8
9

Most of the time
Some of the time
Only now and then
Hardly at all
Don’t know
skipped
not asked

49

faminc

Family income

Thinking back over the last year, what was your family’s annual income?
2835
4542
6459
6609
5760
5764
4490
4688
5661
4056
3572
162
6500
1859
825
439
181
177
21
0
0

1
2
3
4
5
6
7
8
9
10
11
31
97
12
13
14
15
16
98
99
32

Less than $10,000
$10,000 - $19,999
$20,000 - $29,999
$30,000 - $39,999
$40,000 - $49,999
$50,000 - $59,999
$60,000 - $69,999
$70,000 - $79,999
$80,000 - $99,999
$100,000 - $119,999
$120,000 - $149,999
$150,000 or more
Prefer not to say
$150,000 - $199,999
$200,000 - $249,999
$250,000 - $349,999
$350,000 - $499,999
$500,000 or more
skipped
not asked
$250,000 or more

ownhome

Home ownership

Do you own your home or pay rent?
40682
20859
2981
78
0

1
2
3
8
9

Own
Rent
Other
skipped
not asked

50

citylength 1

Tenure Current City (years)

How long have you lived in your current city of residence? (Years)
Min.
1st Qu.
Median
Mean
3rd Qu.
Max.
NA’s

0.00
4.00
12.00
16.51
25.00
100.00
1843.00

citylength 2

Tenure Current City (months)

How long have you lived in your current city of residence? (Months)
Min.
1st Qu.
Median
Mean
3rd Qu.
Max.
NA’s

0.00
2.00
4.00
4.55
7.00
100.00
12312.00

milstat 1

Military Household - I am

We’d like to know whether you or someone in your immediate family is currently serving or
has ever served in the U.S. military. Immediate family is defined as your parents, siblings,
spouse, and children. Please check all boxes that apply.
703
63897
0
0

1
2
8
9

selected
not selected
skipped
not asked

51

milstat 2

Military Household - Family

We’d like to know whether you or someone in your immediate family is currently serving or
has ever served in the U.S. military. Immediate family is defined as your parents, siblings,
spouse, and children. Please check all boxes that apply.
4570
60030
0
0

1
2
8
9

selected
not selected
skipped
not asked

milstat 3

Military Household - I served previously

We’d like to know whether you or someone in your immediate family is currently serving or
has ever served in the U.S. military. Immediate family is defined as your parents, siblings,
spouse, and children. Please check all boxes that apply.
7569
57031
0
0

1
2
8
9

selected
not selected
skipped
not asked

milstat 4

Military Household - Family served previously

We’d like to know whether you or someone in your immediate family is currently serving or
has ever served in the U.S. military. Immediate family is defined as your parents, siblings,
spouse, and children. Please check all boxes that apply.
26382
38218
0
0

1
2
8
9

selected
not selected
skipped
not asked

milstat 5

Military Household - None

We’d like to know whether you or someone in your immediate family is currently serving or
has ever served in the U.S. military. Immediate family is defined as your parents, siblings,
spouse, and children. Please check all boxes that apply.
29890
34710
0
0

1
2
8
9

selected
not selected
skipped
not asked

52

immstat

Citizen

Which of these statements best describes you?
4233
1368
6136
12582
40123
158
0

1
2
3
4
5
8
9

Immigrant Citizen
Immigrant non-citizen
First generation
Second generation
Third generation
skipped
not asked

union

union

Are you a member of a labor union?
4804
11496
48162
138
0

1
2
3
8
9

Yes, I am currently a member of a labor union
I formerly was a member of a labor union
I am not now, nor have I been, a member of a labor union
skipped
not asked

unionhh

unionhh

Other than yourself, is any member of your household a union member?
5948 1
8456 2
49791 3
405 8
0 9

Yes, a member of my household is currently a union member
A member of my household was formerly a member of a labor
union, but is not now
No, no one in my household has ever been a member of a labor
union
skipped
not asked

investor

Stock ownership

Do you personally (or jointly with a spouse), have any money invested in the stock market
right now, either in an individual stock or in a mutual fund?
15508
19689
29403
0

1
2
8
9

Yes
No
skipped
not asked
53

healthins 1

Yes, through my job or a family member’s employer

Do you currently have health insurance? (Please check all that apply)
32765
31835
0
0

1
2
8
9

healthins 2

selected
not selected
skipped
not asked
Yes, through a government program, such as Medicare or
Medicaid

Do you currently have health insurance? (Please check all that apply)
21815
42785
0
0

1
2
8
9

selected
not selected
skipped
not asked

healthins 3

Yes, through my school

Do you currently have health insurance? (Please check all that apply)
594
64006
0
0

1
2
8
9

selected
not selected
skipped
not asked

healthins 4

Yes, I purchased my own

Do you currently have health insurance? (Please check all that apply)
7629
56971
0
0

1
2
8
9

selected
not selected
skipped
not asked

54

healthins 5

Not sure

Do you currently have health insurance? (Please check all that apply)
921
63679
0
0

1
2
8
9

selected
not selected
skipped
not asked

healthins 6

No

Do you currently have health insurance? (Please check all that apply)
5181
59419
0
0

1
2
8
9

selected
not selected
skipped
not asked

55

Pre-election
CC16 300 1

Blog

In the past 24 hours have you ...(check all that apply)
13588
51012
0
0
CC16 300 2

1
2
8
9

selected
not selected
skipped
not asked
TV

In the past 24 hours have you ...(check all that apply)
45790
18810
0
0

1
2
8
9

selected
not selected
skipped
not asked

CC16 300 3

Newspaper

In the past 24 hours have you ...(check all that apply)
29682
34918
0
0

1
2
8
9

selected
not selected
skipped
not asked

CC16 300 4

Radio

In the past 24 hours have you ...(check all that apply)
23341
41259
0
0

1
2
8
9

selected
not selected
skipped
not asked

56

CC16 300 5

Social Media

In the past 24 hours have you ...(check all that apply)
45314
19286
0
0

1
2
8
9

selected
not selected
skipped
not asked

CC16 300 6

None

In the past 24 hours have you ...(check all that apply)
2406
62194
0
0

1
2
8
9

selected
not selected
skipped
not asked

CC16 300b

Watch News

Did you watch local news, national news, or both?
13958
9120
22007
710
18805

1
2
3
8
9

Local Newscast
National Newscast
Both
skipped
not asked

CC16 300c

Read Newspaper

Did you read a print newspaper, an online newspaper, or both?
9715
13707
5888
379
34911

1
2
3
8
9

Print
Online
Both
skipped
not asked

57

CC16 300d 1

Posted a story, photo, video or link about politics

Did you do any of the following on social media (such as Facebook, YouTube or Twitter)?
13805
31510
0
19285

1
2
8
9

selected
not selected
skipped
not asked

CC16 300d 2

Posted a comment about politics

Did you do any of the following on social media (such as Facebook, YouTube or Twitter)?
15515
29800
0
19285

1
2
8
9

selected
not selected
skipped
not asked

CC16 300d 3

Read a story or watched a video about politics

Did you do any of the following on social media (such as Facebook, YouTube or Twitter)?
30758
14557
0
19285

1
2
8
9

selected
not selected
skipped
not asked

CC16 300d 4

Followed a political event

Did you do any of the following on social media (such as Facebook, YouTube or Twitter)?
14006
31309
0
19285

1
2
8
9

selected
not selected
skipped
not asked

58

CC16 300d 5

Forwarded a story, photo, video or link about politics to friends

Did you do any of the following on social media (such as Facebook, YouTube or Twitter)?
13390
31925
0
19285

1
2
8
9

selected
not selected
skipped
not asked
Gun control

CC16 301a
How important are each of these issues to you?
6267
3114
1684
1102
1077
25
51331

1
2
3
4
5
8
9

Very High Importance
Somewhat High Importance
Somewhat Low Importance
Very Low Importance
No Importance at All
skipped
not asked
Abortion

CC16 301b
How important are each of these issues to you?
4108
3355
2814
1647
1329
16
51331

1
2
3
4
5
8
9

Very High Importance
Somewhat High Importance
Somewhat Low Importance
Very Low Importance
No Importance at All
skipped
not asked

59

Taxes

CC16 301c
How important are each of these issues to you?
6283
4754
1780
331
102
19
51331

1
2
3
4
5
8
9

Very High Importance
Somewhat High Importance
Somewhat Low Importance
Very Low Importance
No Importance at All
skipped
not asked
Immigration

CC16 301d
How important are each of these issues to you?
5893
3996
2275
772
310
23
51331

1
2
3
4
5
8
9

Very High Importance
Somewhat High Importance
Somewhat Low Importance
Very Low Importance
No Importance at All
skipped
not asked
Budget deficit

CC16 301e
How important are each of these issues to you?
5606
4239
2295
792
325
12
51331

1
2
3
4
5
8
9

Very High Importance
Somewhat High Importance
Somewhat Low Importance
Very Low Importance
No Importance at All
skipped
not asked

60

Defense spending

CC16 301f
How important are each of these issues to you?
4661
5222
2435
679
251
21
51331

1
2
3
4
5
8
9

Very High Importance
Somewhat High Importance
Somewhat Low Importance
Very Low Importance
No Importance at All
skipped
not asked
Social security

CC16 301g
How important are each of these issues to you?
7880
3777
1225
275
92
20
51331

1
2
3
4
5
8
9

Very High Importance
Somewhat High Importance
Somewhat Low Importance
Very Low Importance
No Importance at All
skipped
not asked
Environment

CC16 301h
How important are each of these issues to you?
4888
3828
2486
1298
755
14
51331

1
2
3
4
5
8
9

Very High Importance
Somewhat High Importance
Somewhat Low Importance
Very Low Importance
No Importance at All
skipped
not asked

61

Jobs

CC16 301i
How important are each of these issues to you?
6987
4692
1254
211
103
22
51331

1
2
3
4
5
8
9

Very High Importance
Somewhat High Importance
Somewhat Low Importance
Very Low Importance
No Importance at All
skipped
not asked
Crime

CC16 301j
How important are each of these issues to you?
5904
4845
2003
396
104
17
51331

1
2
3
4
5
8
9

Very High Importance
Somewhat High Importance
Somewhat Low Importance
Very Low Importance
No Importance at All
skipped
not asked
National security

CC16 301k
How important are each of these issues to you?
7957
3685
1257
253
97
20
51331

1
2
3
4
5
8
9

Very High Importance
Somewhat High Importance
Somewhat Low Importance
Very Low Importance
No Importance at All
skipped
not asked

62

Race relations

CC16 301l
How important are each of these issues to you?
4879
4439
2451
869
609
22
51331

1
2
3
4
5
8
9

Very High Importance
Somewhat High Importance
Somewhat Low Importance
Very Low Importance
No Importance at All
skipped
not asked
Health care

CC16 301m
How important are each of these issues to you?
8351
3735
856
196
105
26
51331

1
2
3
4
5
8
9

Very High Importance
Somewhat High Importance
Somewhat Low Importance
Very Low Importance
No Importance at All
skipped
not asked
Gay marriage

CC16 301n
How important are each of these issues to you?
2251
2576
2885
2220
3324
13
51331

1
2
3
4
5
8
9

Very High Importance
Somewhat High Importance
Somewhat Low Importance
Very Low Importance
No Importance at All
skipped
not asked

63

Government corruption

CC16 301o
How important are each of these issues to you?
8095
3312
1340
386
118
18
51331

1
2
3
4
5
8
9

Very High Importance
Somewhat High Importance
Somewhat Low Importance
Very Low Importance
No Importance at All
skipped
not asked

CC16 302

National Economy

OVER THE PAST YEAR the nation’s economy has ...?
3286
16472
21840
14889
5978
2018
117
0

1
2
3
4
5
6
8
9

Gotten much better
Gotten better
Stayed about the same
Gotten worse
Gotten much worse
Not sure
skipped
not asked

CC16 303

Past year - household income

Over the past FOUR YEARS, has your household’s annual income ...?
4470
19622
24424
10655
5357
72
0

1
2
3
4
5
8
9

Increased a lot
Increased somewhat
Stayed about the same
Decreased somewhat
Decreased a lot
skipped
not asked

64

CC16 304

Next year - household income

OVER THE NEXT YEAR, do you think the nation’s economy will ...?
3138
15037
19221
11751
5216
10104
133
0

1
2
3
4
5
6
8
9

Get much better
Get somewhat better
Stay about the same
Get somewhat worse
Get much worse
Not sure
skipped
not asked

CC16 305 1

Married

Over the past FOUR YEARS, have you... (Check all that apply)
6051
58549
0
0

1
2
8
9

selected
not selected
skipped
not asked

CC16 305 2

Lost a job

Over the past FOUR YEARS, have you... (Check all that apply)
8927
55673
0
0

1
2
8
9

selected
not selected
skipped
not asked

CC16 305 3

Finished school

Over the past FOUR YEARS, have you... (Check all that apply)
5784
58816
0
0

1
2
8
9

selected
not selected
skipped
not asked

65

CC16 305 4

Retired

Over the past FOUR YEARS, have you... (Check all that apply)
5404
59196
0
0

1
2
8
9

selected
not selected
skipped
not asked

CC16 305 5

Divorced

Over the past FOUR YEARS, have you... (Check all that apply)
1752
62848
0
0

1
2
8
9

selected
not selected
skipped
not asked

CC16 305 6

Had a child

Over the past FOUR YEARS, have you... (Check all that apply)
5428
59172
0
0

1
2
8
9

selected
not selected
skipped
not asked

CC16 305 7

Taken a new job

Over the past FOUR YEARS, have you... (Check all that apply)
16955
47645
0
0

1
2
8
9

selected
not selected
skipped
not asked

66

CC16 305 8

Been issued a traffic ticket

Over the past FOUR YEARS, have you... (Check all that apply)
8182
56418
0
0

1
2
8
9

selected
not selected
skipped
not asked

CC16 305 9

Been a victim of a crime

Over the past FOUR YEARS, have you... (Check all that apply)
3563
61037
0
0

1
2
8
9

selected
not selected
skipped
not asked

CC16 305 10

Visited an emergency room

Over the past FOUR YEARS, have you... (Check all that apply)
23518
41082
0
0

1
2
8
9

selected
not selected
skipped
not asked

CC16 305 11

Received a raise at work

Over the past FOUR YEARS, have you... (Check all that apply)
18013
46587
0
0

1
2
8
9

selected
not selected
skipped
not asked

67

CC16 307

Police make R feel safe

Do the police make you feel?
30349
24549
6917
2687
98
0

1
2
3
4
8
9

Mostly safe
Somewhat safe
Somewhat unsafe
Mostly unsafe
skipped
not asked
Do not get involved

CC16 312 1

As you may know, there are on-going conflicts in Syria and Iraq led by the organization
Islamic State of Iraq and Syria (or ISIS). What do you think the United States should do in
response to ISIS? (Check all that apply)
1471
11798
0
51331

1
2
8
9

selected
not selected
skipped
not asked
Send food, medicine and other aid to countries affected

CC16 312 2

As you may know, there are on-going conflicts in Syria and Iraq led by the organization
Islamic State of Iraq and Syria (or ISIS). What do you think the United States should do in
response to ISIS? (Check all that apply)
6134
7135
0
51331

1
2
8
9

selected
not selected
skipped
not asked
Provide arms to those opposing ISIS

CC16 312 3

As you may know, there are on-going conflicts in Syria and Iraq led by the organization
Islamic State of Iraq and Syria (or ISIS). What do you think the United States should do in
response to ISIS? (Check all that apply)
4448
8821
0
51331

1
2
8
9

selected
not selected
skipped
not asked
68

Enforce a no-fly zone

CC16 312 4

As you may know, there are on-going conflicts in Syria and Iraq led by the organization
Islamic State of Iraq and Syria (or ISIS). What do you think the United States should do in
response to ISIS? (Check all that apply)
4618
8651
0
51331

1
2
8
9

selected
not selected
skipped
not asked
Use drones and aircraft to bomb ISIS troops

CC16 312 5

As you may know, there are on-going conflicts in Syria and Iraq led by the organization
Islamic State of Iraq and Syria (or ISIS). What do you think the United States should do in
response to ISIS? (Check all that apply)
7661
5608
0
51331

1
2
8
9

selected
not selected
skipped
not asked
Send military support staff (non-combat)

CC16 312 6

As you may know, there are on-going conflicts in Syria and Iraq led by the organization
Islamic State of Iraq and Syria (or ISIS). What do you think the United States should do in
response to ISIS? (Check all that apply)
4279
8990
0
51331

1
2
8
9

selected
not selected
skipped
not asked
Send significant force to fight ISIS

CC16 312 7

As you may know, there are on-going conflicts in Syria and Iraq led by the organization
Islamic State of Iraq and Syria (or ISIS). What do you think the United States should do in
response to ISIS? (Check all that apply)
4045
9224
0
51331

1
2
8
9

selected
not selected
skipped
not asked

69

CC16 320a

Obama

Do you approve of the way each is doing their job...
19001
14800
6579
21258
2940
22
0

1
2
3
4
5
8
9

Strongly approve
Somewhat approve
Somewhat disapprove
Strongly disapprove
Not sure
skipped
not asked

CC16 320b

Congress

Do you approve of the way each is doing their job...
2354
11353
17507
24521
8832
33
0

1
2
3
4
5
8
9

Strongly approve
Somewhat approve
Somewhat disapprove
Strongly disapprove
Not sure
skipped
not asked

CC16 320c

Supreme Court

Do you approve of the way each is doing their job...
4880
22889
16623
10133
10044
31
0

1
2
3
4
5
8
9

Strongly approve
Somewhat approve
Somewhat disapprove
Strongly disapprove
Not sure
skipped
not asked

70

CC16 320d

Governor

Do you approve of the way each is doing their job...
9836
20190
10700
15615
8040
215
4

1
2
3
4
5
8
9

Strongly approve
Somewhat approve
Somewhat disapprove
Strongly disapprove
Not sure
skipped
not asked

CC16 320e

Legislature

Do you approve of the way each is doing their job...
3713
19207
14282
11776
15394
224
4

1
2
3
4
5
8
9

Strongly approve
Somewhat approve
Somewhat disapprove
Strongly disapprove
Not sure
skipped
not asked

CC16 321a

Reps

Which party has a majority of seats in ...
40028
7282
1112
16140
38
0

1
2
3
4
8
9

Republicans
Democrats
Neither
Not sure
skipped
not asked

71

CC16 321b

Senate

Which party has a majority of seats in ...
36801
9931
1407
16403
58
0

1
2
3
4
8
9

Republicans
Democrats
Neither
Not sure
skipped
not asked

CC16 321c

State Senate

Which party has a majority of seats in ...
23282
16909
1579
22217
605
8

1
2
3
4
8
9

Republicans
Democrats
Neither
Not sure
skipped
not asked

CC16 321d

Lower Chamber

Which party has a majority of seats in ...
22499
16388
1419
24046
244
4

1
2
3
4
8
9

Republicans
Democrats
Neither
Not sure
skipped
not asked

72

CC16 322a

Party Recall + Name Recognition - Governor

Please indicate whether you’ve heard of this person and if so which party he or she is affiliated
with...
2551
31243
20232
415
9665
490
4

1
2
3
4
5
8
9

Never Heard of Person
Republican
Democrat
Other Party / Independent
Not sure
skipped
not asked

CC16 322b

Party Recall + Name Recognition - Senator 1

Please indicate whether you’ve heard of this person and if so which party he or she is affiliated
with...
3664
17219
30374
432
12341
566
4

1
2
3
4
5
8
9

Never Heard of Person
Republican
Democrat
Other Party / Independent
Not sure
skipped
not asked

CC16 322c

Party Recall + Name Recognition - Senator 2

Please indicate whether you’ve heard of this person and if so which party he or she is affiliated
with...
3309
27361
20249
854
12247
576
4

1
2
3
4
5
8
9

Never Heard of Person
Republican
Democrat
Other Party / Independent
Not sure
skipped
not asked

73

CC16 322d

Party Recall + Name Recognition - Rep

Please indicate whether you’ve heard of this person and if so which party he or she is affiliated
with...
5124
22632
19391
659
15905
881
8

1
2
3
4
5
8
9

Never Heard of Person
Republican
Democrat
Other Party / Independent
Not sure
skipped
not asked

CC16 320f

Rep

Do you approve of the way each is doing their job...
8575
15573
8503
9359
22109
473
8

1
2
3
4
5
8
9

Strongly approve
Somewhat approve
Somewhat disapprove
Strongly disapprove
Not sure
skipped
not asked

CC16 320g

Senator 1

Do you approve of the way each is doing their job...
8819
16496
9567
12336
17159
219
4

1
2
3
4
5
8
9

Strongly approve
Somewhat approve
Somewhat disapprove
Strongly disapprove
Not sure
skipped
not asked

74

CC16 320h

Senator 2

Do you approve of the way each is doing their job...
8217
15801
9867
13287
17213
211
4

1
2
3
4
5
8
9

Strongly approve
Somewhat approve
Somewhat disapprove
Strongly disapprove
Not sure
skipped
not asked

CC16 326

President 2012

In 2012, who did you vote for in the election for President?
28031
18157
1539
78
734
83
15978

1
2
3
4
5
8
9

Barack Obama
Mitt Romney
Someone else
Did not vote
Don’t recall
skipped
not asked

CC16 327

Vote primary 2016

Did you vote in a Presidential primary election or caucus this year?
38606
25849
145
0

1
2
8
9

Yes, voted in a primary or caucus
No, didnt vote in a primary or caucus
skipped
not asked

75

CC16 328

Vote primary 2016 candidate

In the Presidential primary or caucus, who did you vote for?
12661
9012
240
8026
3759
1739
1539
961
604
71
25988

1
2
3
4
5
6
7
8
9
98
99

CC16 330a

Hillary Clinton
Bernie Sanders
Another Democrat
Donald Trump
Ted Cruz
John Kasich
Marco Rubio
Another Republican
Someone else who is not a Democrat or Republican
skipped
not asked
Background checks for all sales, including at gun shows and
over the Internet

On the issue of gun regulation, do you support or oppose each of the following proposals?
58138
6247
215
0

1
2
8
9

CC16 330b

Support
Oppose
skipped
not asked
Prohibit state and local governments from publishing the
names and addresses of all gun owners

On the issue of gun regulation, do you support or oppose each of the following proposals?
37944
26273
383
0

1
2
8
9

Support
Oppose
skipped
not asked

76

CC16 330d

Ban assault rifles

On the issue of gun regulation, do you support or oppose each of the following proposals?
42603
21548
449
0

1
2
8
9

CC16 330e

Support
Oppose
skipped
not asked
Make it easier for people to obtain concealed-carry permit

On the issue of gun regulation, do you support or oppose each of the following proposals?
24241
39982
377
0

1
2
8
9

CC16 331 1

Support
Oppose
skipped
not asked
Immigration — Grant legal status to all illegal immigrants who
have held jobs and paid taxes for at least 3 years, and not been
convicted of any felony crimes

What do you think the U.S. government should do about immigration? Select all that apply.
36182
28418
0
0

1
2
8
9

CC16 331 2

selected
not selected
skipped
not asked
Immigration — Increase the number of border patrols on the
U.S.-Mexican border

What do you think the U.S. government should do about immigration? Select all that apply.
31858
32742
0
0

1
2
8
9

selected
not selected
skipped
not asked

77

CC16 331 3

Immigration — Grant legal status to people who were
brought to the US illegally as children, but who have graduated
from a U.S. high school

What do you think the U.S. government should do about immigration? Select all that apply.
30286
34314
0
0

1
2
8
9

selected
not selected
skipped
not asked
Immigration — Fine U.S. businesses that hire illegal immigrants

CC16 331 4

What do you think the U.S. government should do about immigration? Select all that apply.
8578
4691
0
51331

1
2
8
9

selected
not selected
skipped
not asked
Immigration — Admit no refugees from Syria

CC16 331 5

What do you think the U.S. government should do about immigration? Select all that apply.
4767
8502
0
51331

1
2
8
9

selected
not selected
skipped
not asked
Immigration — Increase the number of visas for overseas
workers to work in the U.S.

CC16 331 6

What do you think the U.S. government should do about immigration? Select all that apply.
2590
10679
0
51331

1
2
8
9

selected
not selected
skipped
not asked

78

CC16 331 7

Immigration — Identify and deport illegal immigrants

What do you think the U.S. government should do about immigration? Select all that apply.
26249
38351
0
0

1
2
8
9

selected
not selected
skipped
not asked
Immigration — Ban Muslims from immigrating to the U.S.

CC16 331 8

What do you think the U.S. government should do about immigration? Select all that apply.
3097
10172
0
51331

1
2
8
9

selected
not selected
skipped
not asked

CC16 331 9

Immigration — None of these

What do you think the U.S. government should do about immigration? Select all that apply.
3049
61551
0
0

1
2
8
9

CC16 332a

selected
not selected
skipped
not asked
Always allow a woman to obtain an abortion as a matter of
choice

Do you support or oppose each of the following proposals?
39808
24730
62
0

1
2
8
9

Support
Oppose
skipped
not asked

79

CC16 332b

Permit abortion only in case of rape, incest or when the
woman’s life is in danger

Do you support or oppose each of the following proposals?
29616
34892
92
0

1
2
8
9

CC16 332c

Support
Oppose
skipped
not asked
Prohibit all abortions after the 20th week of pregnancy

Do you support or oppose each of the following proposals?
39057
25461
82
0

1
2
8
9

CC16 332d

Support
Oppose
skipped
not asked
Allow employers to decline coverage of abortions in insurance
plans

Do you support or oppose each of the following proposals?
28138
36400
62
0

1
2
8
9

CC16 332e

Support
Oppose
skipped
not asked
Prohibit the expenditure of funds authorized or appropriated
by federal law for any abortion

Do you support or oppose each of the following proposals?
29217
35321
62
0

1
2
8
9

Support
Oppose
skipped
not asked

80

CC16 332f

Make abortions illegal in all circumstances

Do you support or oppose each of the following proposals?
10144
54369
87
0

1
2
8
9

CC16 333a

Support
Oppose
skipped
not asked
Give Environmental Protection Agency power to regulate
Carbon Dioxide emissions

Do you support or oppose each of the following proposals?
43932
20608
60
0

1
2
8
9

CC16 333b

Support
Oppose
skipped
not asked
Raise required fuel efficiency for the average automobile from
25 mpg to 35 mpg

Do you support or oppose each of the following proposals?
45022
19522
56
0

1
2
8
9

CC16 333c

Support
Oppose
skipped
not asked
Require a minimum amount of renewable fuels (wind,
solar, and hydroelectric) in the generation of electricity even if
electricity prices increase somewhat

Do you support or oppose each of the following proposals?
41447
23087
66
0

1
2
8
9

Support
Oppose
skipped
not asked

81

CC16 333d

Strengthen enforcement of the Clean Air Act and Clean Water
Act even if it costs US jobs

Do you support or oppose each of the following proposals?
37672
26875
53
0

1
2
8
9

CC16 334a

Support
Oppose
skipped
not asked
Eliminate mandatory minimum sentences for non-violent drug
offenders

Do you support or oppose each of the following proposals?
43030
21538
32
0

1
2
8
9

CC16 334b

Support
Oppose
skipped
not asked
Require police officers to wear body cameras that record all of
their activities while on duty

Do you support or oppose each of the following proposals?
56468
8099
33
0

1
2
8
9

CC16 334c

Support
Oppose
skipped
not asked
Increase the number of police on the street by 10 percent, even
if it means fewer funds for other public services

Do you support or oppose each of the following proposals?
35317
29232
51
0

1
2
8
9

Support
Oppose
skipped
not asked

82

CC16 334d

Increase prison sentences for felons who have already
committed two or more serious or violent crimes

Do you support or oppose each of the following proposals?
54198
10360
42
0

1
2
8
9

Support
Oppose
skipped
not asked

CC16 335

Gay Marriage

Do you favor or oppose allowing gays and lesbians to marry legally?
41718
22407
474
1

1
2
8
9

Favor
Oppose
skipped
not asked

CC16 337 1

Cut Defense Spending

The federal budget deficit is approximately 1 trillion this year. If the Congress were to
balance the budget it would have to consider cutting defense spending, cutting domestic
spending (such as Medicare and Social Security), or raising taxes to cover the deficit. Please
rank the options below from what would you most prefer that Congress do to what you
would least prefer they do.
25054
24355
13760
0
1431
0

1
2
3
997
998
999

1
2
3
don’t know
skipped
not asked

83

CC16 337 2

Cut Domestic Spending

The federal budget deficit is approximately 1 trillion this year. If the Congress were to
balance the budget it would have to consider cutting defense spending, cutting domestic
spending (such as Medicare and Social Security), or raising taxes to cover the deficit. Please
rank the options below from what would you most prefer that Congress do to what you
would least prefer they do.
23740
16912
22715
0
1233
0

1
2
3
997
998
999

1
2
3
don’t know
skipped
not asked

CC16 337 3

Raise Taxes

The federal budget deficit is approximately 1 trillion this year. If the Congress were to
balance the budget it would have to consider cutting defense spending, cutting domestic
spending (such as Medicare and Social Security), or raising taxes to cover the deficit. Please
rank the options below from what would you most prefer that Congress do to what you
would least prefer they do.
14818
21920
26385
0
1477
0

1
2
3
997
998
999

1
2
3
don’t know
skipped
not asked

CC16 340a

Yourself

How would you rate each of the following individuals and groups?
6107
8562
6358
16762
7045
10069
5962
3486
249
0

1
2
3
4
5
6
7
8
98
99

Very Liberal
Liberal
Somewhat Liberal
Middle of the Road
Somewhat Conservative
Conservative
Very Conservative
Not sure
skipped
not asked
84

CC16 340b

Governor

How would you rate each of the following individuals and groups?
4590
6192
5940
6609
7360
11310
8481
13477
637
4

1
2
3
4
5
6
7
8
98
99

Very Liberal
Liberal
Somewhat Liberal
Middle of the Road
Somewhat Conservative
Conservative
Very Conservative
Not sure
skipped
not asked

CC16 340c

Obama

How would you rate each of the following individuals and groups?
20464
13792
10097
7055
2493
2016
1608
6861
214
0

1
2
3
4
5
6
7
8
98
99

Very Liberal
Liberal
Somewhat Liberal
Middle of the Road
Somewhat Conservative
Conservative
Very Conservative
Not sure
skipped
not asked

85

CC16 340d

Hillary Clinton

How would you rate each of the following individuals and groups?
19863
12135
9988
7657
3264
2483
1713
7171
326
0

1
2
3
4
5
6
7
8
98
99

Very Liberal
Liberal
Somewhat Liberal
Middle of the Road
Somewhat Conservative
Conservative
Very Conservative
Not sure
skipped
not asked

CC16 340e

Donald Trump

How would you rate each of the following individuals and groups?
3695
1944
2858
7570
10896
10602
12066
14703
266
0

1
2
3
4
5
6
7
8
98
99

Very Liberal
Liberal
Somewhat Liberal
Middle of the Road
Somewhat Conservative
Conservative
Very Conservative
Not sure
skipped
not asked

86

Merrick Garland

CC16 340f
How would you rate each of the following individuals and groups?
490
755
995
2526
441
199
96
7501
51597
0

1
2
3
4
5
6
7
8
98
99

Very Liberal
Liberal
Somewhat Liberal
Middle of the Road
Somewhat Conservative
Conservative
Very Conservative
Not sure
skipped
not asked

CC16 340g

The Democratic Party

How would you rate each of the following individuals and groups?
18423
15093
10209
6525
2450
2162
1507
7421
810
0

1
2
3
4
5
6
7
8
98
99

Very Liberal
Liberal
Somewhat Liberal
Middle of the Road
Somewhat Conservative
Conservative
Very Conservative
Not sure
skipped
not asked

87

CC16 340h

The Republican Party

How would you rate each of the following individuals and groups?
1439
2031
3047
5191
8754
16998
18151
8156
833
0

1
2
3
4
5
6
7
8
98
99

Very Liberal
Liberal
Somewhat Liberal
Middle of the Road
Somewhat Conservative
Conservative
Very Conservative
Not sure
skipped
not asked

CC16 340i

The United States Supreme Court

How would you rate each of the following individuals and groups?
2460
4398
8613
20395
9153
5196
2208
11428
749
0

1
2
3
4
5
6
7
8
98
99

Very Liberal
Liberal
Somewhat Liberal
Middle of the Road
Somewhat Conservative
Conservative
Very Conservative
Not sure
skipped
not asked

88

CC16 340j

CurrentSen1Name

How would you rate each of the following individuals and groups?
6327
8186
7341
6685
3881
3949
2435
15251
10347
198

1
2
3
4
5
6
7
8
98
99

Very Liberal
Liberal
Somewhat Liberal
Middle of the Road
Somewhat Conservative
Conservative
Very Conservative
Not sure
skipped
not asked

CC16 340k

CurrentSen2Name

How would you rate each of the following individuals and groups?
4872
5963
4807
4556
3322
4515
4169
12598
19498
300

1
2
3
4
5
6
7
8
98
99

Very Liberal
Liberal
Somewhat Liberal
Middle of the Road
Somewhat Conservative
Conservative
Very Conservative
Not sure
skipped
not asked

89

CC16 340l

SenCand1Name

How would you rate each of the following individuals and groups?
6011
7886
6456
5341
1900
1455
698
17192
17406
255

1
2
3
4
5
6
7
8
98
99

Very Liberal
Liberal
Somewhat Liberal
Middle of the Road
Somewhat Conservative
Conservative
Very Conservative
Not sure
skipped
not asked

CC16 340m

SenCand2Name

How would you rate each of the following individuals and groups?
1403
2075
2277
4296
5223
9100
5905
16788
17278
255

1
2
3
4
5
6
7
8
98
99

Very Liberal
Liberal
Somewhat Liberal
Middle of the Road
Somewhat Conservative
Conservative
Very Conservative
Not sure
skipped
not asked

90

CC16 340n

HouseCand1Name

How would you rate each of the following individuals and groups?
4504
7401
6009
6271
2283
1973
976
32750
2403
30

1
2
3
4
5
6
7
8
98
99

Very Liberal
Liberal
Somewhat Liberal
Middle of the Road
Somewhat Conservative
Conservative
Very Conservative
Not sure
skipped
not asked

CC16 340o

HouseCand2Name

How would you rate each of the following individuals and groups?
815
1430
1951
5130
5545
9493
5782
31595
2811
48

1
2
3
4
5
6
7
8
98
99

Very Liberal
Liberal
Somewhat Liberal
Middle of the Road
Somewhat Conservative
Conservative
Very Conservative
Not sure
skipped
not asked

91

CC16 340p

House member

How would you rate each of the following individuals and groups?
354
534
482
726
729
1195
702
2893
56108
877

1
2
3
4
5
6
7
8
98
99

Very Liberal
Liberal
Somewhat Liberal
Middle of the Road
Somewhat Conservative
Conservative
Very Conservative
Not sure
skipped
not asked
SCOTUS Appointments

CC16 350

Do you happen to know whether most of the current U.S. Supreme Court Justices were
appointed by Democratic or Republican presidents?
1439 1
2625 2
3966 3
5221 4
18 8
51331 9

Most were appointed by Democratic presidents
Most were appointed by Republican presidents
An equal number were appointed by Democratic and Republican
presidents
Not sure
skipped
not asked
Supreme Court Nomination. Approve the nomination of
Merrick Garland to the Supreme Court of the United States.

CC16 351A

Congress considers many issues. If you were in Congress would you vote FOR or AGAINST
each of the following?
7323
5883
51394
0

1
2
8
9

For
Against
skipped
not asked

92

CC16 351B

Trans-Pacific Partnership Act Free trade
agreement among 12 Pacific nations (Australia, Brunei, Canada,
Chile, Japan, Malaysia, Mexico, New Zealand, Peru, Singapore,
and the US).

Congress considers many issues. If you were in Congress would you vote FOR or AGAINST
each of the following?
35561
28913
126
0

1
2
8
9

For
Against
skipped
not asked
USA Freedom Act Ends the US government’s
phone surveillance database program. Allows individual phone
companies to keep such databases, and allows the government to
access those records if there is reasonable suspicion an individual
is connected to a terrorist organization.

CC16 351C

Congress considers many issues. If you were in Congress would you vote FOR or AGAINST
each of the following?
9598
3557
51445
0

1
2
8
9

For
Against
skipped
not asked
Trade Adjustment Assistance Act. Provides education
assistance and retraining to workers who have lost their jobs as
a result of foreign trade.

CC16 351D

Congress considers many issues. If you were in Congress would you vote FOR or AGAINST
each of the following?
11067
2162
51371
0

1
2
8
9

For
Against
skipped
not asked

93

CC16 351E

Education Reform. Repeals the
No Child Left Behind Act, which required testing of all students
and penalized schools that fell below federal standards. Allows
states to identify and improve poor performing schools.

Congress considers many issues. If you were in Congress would you vote FOR or AGAINST
each of the following?
50367
14100
133
0

1
2
8
9

CC16 351F

For
Against
skipped
not asked
Highway and Transportation Funding Act. Authorizes $305
Billion to repair and expand highways, bridges, and transit over
the next 5 years.

Congress considers many issues. If you were in Congress would you vote FOR or AGAINST
each of the following?
53279
11116
205
0

1
2
8
9

CC16 351G

For
Against
skipped
not asked
Iran Sanctions Act Imposes new sanctions on Iran, if Iran does
not agree to reduce its nuclear program by June 30.

Congress considers many issues. If you were in Congress would you vote FOR or AGAINST
each of the following?
51177
13219
204
0

1
2
8
9

For
Against
skipped
not asked

94

CC16 351H

Medicare
Accountability and Cost Reform Act. Shifts Medicare from feefor-service to pay-for-performance. Ties Medicare payments to
doctors to quality of care measures. Requires higher premiums
for seniors who make more than $134,000. Renews the Children
Health Insurance Program (CHIP).

Congress considers many issues. If you were in Congress would you vote FOR or AGAINST
each of the following?
43780
20545
275
0

1
2
8
9

CC16 351I

For
Against
skipped
not asked
Repeal Affordable Care Act. Would repeal the Affordable Care
Act of 2009 (also known as Obamacare).

Congress considers many issues. If you were in Congress would you vote FOR or AGAINST
each of the following?
34693
29816
91
0

1
2
8
9

CC16 351K

For
Against
skipped
not asked
Minimum wage. Raises the federal minimum wage to $12 an
hour by 2020.

Congress considers many issues. If you were in Congress would you vote FOR or AGAINST
each of the following?
45106
19475
19
0

1
2
8
9

For
Against
skipped
not asked

95

CC16 360

Party Registration

With which party, if any, are you registered?
15980
24084
15908
1021
73
7534

1
2
3
4
8
9

No Party, Independent, Decline to state
Democratic Party
Republican Party
Other
skipped
not asked

CC16 361

Residence

How long have you lived at your present address?
668
4557
2805
8687
8399
39386
98
0

1
2
3
4
5
6
8
9

Less than 1 month
2 to 6 months
7 to 11 months
1 to 2 years
3 to 4 years
5 or more years
skipped
not asked

CC16 364

Does R Intend to Vote in 2016

Do you intend to vote in the 2016 general election?
49805
4828
1521
5211
3123
0
112
0

1
2
3
4
5
6
8
9

Yes, definitely
Probably
I already voted (early or absentee)
No
Undecided
Undecided (1)
skipped
not asked

96

CC16 364b

2016 President early vote

For which candidate for President of the United States did you vote?
478
831
85
40
45
11
25
6
63079

1
2
3
4
5
6
7
8
9

Donald Trump (Republican)
Hillary Clinton (Democrat)
Gary Johnson (Libertarian)
Jill Stein (Green)
Other
I didn’t vote in this election
I’m not sure
skipped
not asked

CC16 364c

2016 President preference

Which candidate for President of the United States do you prefer?
19227
27502
3145
1400
1880
3312
6536
77
1521

1
2
3
4
5
6
7
8
9

Donald Trump (Republican)
Hillary Clinton (Democrat)
Gary Johnson (Libertarian)
Jill Stein (Green)
Other
I won’t vote in this election
I’m not sure
skipped
not asked

97

Post-election
CC16 401

Vote 2016 (Post)

Which of the following statements best describes you?
1802
750
754
487
45292
89
3725
0
CC16 402a

1
2
3
4
5
8
9
-1

I did not vote in the election this November.
I thought about voting this time but didn’t.
I usually vote, but didn’t this time.
I attempted to vote but did not or could not.
I definitely voted in the General Election.
skipped
not asked
No Data
Main reason - no vote

What was the main reason you did not vote?
69
762
317
1950
1653
122
267
475
152
20
128
65
112
73
309
891
249
13
45272
0

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
55
98
99
-1

I forgot
I’m not interested
Too busy
Did not like the candidates
I am not registered
I did not have the correct form of identification
Out of town
Sick or disabled
Transportation
Bad weather
The line at the polls was too long
I was not allowed to vote at the polls, even though I tried
I requested but did not receive an absentee ballot
I did not know where to vote
I did not feel that I knew enough about the choices
Other
Don’t know
skipped
not asked
No Data

98

CC16 402b

Other reason - no vote

Was there any other reason you did not vote?
79
845
327
923
715
81
166
208
194
38
113
66
83
113
487
1073
1305
535
45548
0

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
55
98
99
-1

I forgot
I’m not interested
Too busy
Did not like the candidates
I am not registered
I did not have the correct form of identification
Out of town
Sick or disabled
Transportation
Bad weather
The line at the polls was too long
I was not allowed to vote at the polls, even though I tried
I requested but did not receive an absentee ballot
I did not know where to vote
I did not feel that I knew enough about the choices
Other
Don’t know
skipped
not asked
No Data

CC16 403

Vote Method

Did you vote in person on Election Day, in person before Election Day, or by mail (that is,
absentee or vote by mail)?
24462
9929
11020
290
78
7120
0

1
2
3
4
8
9
-1

In person on election day
In person before election day (early)
Voted by mail (or absentee)
Don’t know
skipped
not asked
No Data

99

CC16 403b

Vote Location

Did you vote at a precinct polling place or at a vote center?
19795
4045
626
28433
0

1
2
8
9
-1

At a precinct polling place
At a vote center
skipped
not asked
No Data

CC16 404

Wait to Vote

Approximately, how long did you have to wait in line to vote?
13160
11367
6544
2503
719
60
41
18505
0

1
2
3
4
5
6
8
9
-1

Not at all
Less than 10 minutes
10 - 30 minutes
31 minutes - 1 hour
More than 1 hour
Don’t know
skipped
not asked
No Data

CC16 405

Election Day Registration

Did you register to vote at the polls or city office on Election Day this year?
572
4292
3
48032
0

1
2
8
9
-1

Yes
No
skipped
not asked
No Data

100

CC16 406a

Voting Problem

Was there a problem with your voter registration or voter identification when you tried to
vote?
44647
1067
65
7120
0

1
2
8
9
-1

No
Yes
skipped
not asked
No Data

CC16 406b 1

ID

What was the problem? Check all that apply.
199
882
0
51818
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC16 406b 2

Registration

What was the problem? Check all that apply.
290
791
0
51818
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC16 406b 3

Wrong Place

What was the problem? Check all that apply.
161
920
0
51818
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

101

CC16 406b 4

Other

What was the problem? Check all that apply.
418
663
0
51818
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC16 406c

Allowed to Vote

Were you allowed to vote?
122
176
766
4
51831
0

1
2
3
8
9
-1

No, I was not allowed to vote
I was allowed to vote using a provisional ballot
I voted
skipped
not asked
No Data

CC16 407a

Feel Intimidated

Did you personally feel intimidated at the place where you voted?
847
33393
112
39
18508
0

1
2
3
8
9
-1

Yes
No
Don’t remember
skipped
not asked
No Data

102

CC16 410a

2016 President vote (Post)

For whom did you vote for President of the United States?
18755
22136
1829
913
163
1136
81
229
27
7630
0

1
2
3
4
8
5
6
7
98
99
-1

Donald Trump (Republican)
Hillary Clinton (Democrat)
Gary Johnson (Libertarian)
Jill Stein (Green)
Evan McMullin (Independent)
Other
I didn’t vote in this election
I’m not sure
skipped
not asked
No Data

CC16 410a nv

2016 President preference (Post)

Which candidate did you prefer for President of the United States?
2163
2454
430
213
21
598
1732
21
45267
0

1
2
3
4
8
5
7
98
99
-1

Donald Trump (Republican)
Hillary Clinton (Democrat)
Gary Johnson (Libertarian)
Jill Stein (Green)
Evan McMullin (Independent)
Other
I’m not sure
skipped
not asked
No Data

CC16 413a

Attorney General

For whom did you vote for in the following state elections ...
16349
13331
939
3691
10698
261
7630
0

1
2
3
4
5
8
9
-1

Democratic candidate
Republican candidate
Other candidate
Did not vote in this race
There was no race for this office
skipped
not asked
No Data
103

CC16 413b

Secretary of State

For whom did you vote for in the following state elections ...
15607
13236
928
3749
11397
352
7630
0

1
2
3
4
5
8
9
-1

Democratic candidate
Republican candidate
Other candidate
Did not vote in this race
There was no race for this office
skipped
not asked
No Data

CC16 413c

State Senate

For whom did you vote for in the following state elections ...
19485
16329
1177
3236
4384
650
7638
0

1
2
3
4
5
8
9
-1

Democratic candidate
Republican candidate
Other candidate
Did not vote in this race
There was no race for this office
skipped
not asked
No Data

CC16 413d

State Legislature’s Lower Chamber

For whom did you vote for in the following state elections ...
19783
16979
1206
3377
3532
388
7634
0

1
2
3
4
5
8
9
-1

Democratic candidate
Republican candidate
Other candidate
Did not vote in this race
There was no race for this office
skipped
not asked
No Data

104

CC16 414 1

Ensure the supply of oil

Would you approve of the use of U.S. military troops in order to ... ? (Please check all that
apply)
9521
43378
0
0
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC16 414 2

Destroy a terrorist camp

Would you approve of the use of U.S. military troops in order to ... ? (Please check all that
apply)
34290
18609
0
0
0

1
2
8
9
-1

CC16 414 3

selected
not selected
skipped
not asked
No Data
Intervene in a region where there is genocide or a civil war

Would you approve of the use of U.S. military troops in order to ... ? (Please check all that
apply)
20546
32353
0
0
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC16 414 4

Assist the spread of democracy

Would you approve of the use of U.S. military troops in order to ... ? (Please check all that
apply)
7896
45003
0
0
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

105

CC16 414 5

Protect American allies under attack by foreign nations

Would you approve of the use of U.S. military troops in order to ... ? (Please check all that
apply)
37979
14920
0
0
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC16 414 6

Help the United Nations uphold international law

Would you approve of the use of U.S. military troops in order to ... ? (Please check all that
apply)
24159
28740
0
0
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC16 414 7

None of the above

Would you approve of the use of U.S. military troops in order to ... ? (Please check all that
apply)
5407
47492
0
0
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

106

CC16 415r

Taxes vs Spending

If your state were to have a budget deficit this year it would have to raise taxes on income
and sales or cut spending, such as on education, health care, welfare, and road construction.
What would you prefer more, raising taxes or cutting spending? Choose a point along the
scale from 100
Min.
1st Qu.
Median
Mean
3rd Qu.
Max.
NA’s

0.00
42.00
52.00
57.50
76.00
100.00
18240.00

CC16 416r

Income vs Sales Taxes

If the state had to raise taxes, what share of the tax increase should come from increased
income taxes and what share from increased sales taxes? Choose a point along the scale
from 100
Min.
1st Qu.
Median
Mean
3rd Qu.
Max.
NA’s

0.00
26.00
50.00
46.79
62.00
100.00
20756.00

CC16 417a 1

Attend local political meetings (such as school board or city
council)

During the past year did you ... (Check all that apply)
6238
46661
0
0
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

107

CC16 417a 2

Put up a political sign (such as a lawn sign or bumper sticker)

During the past year did you ... (Check all that apply)
8540
44359
0
0
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC16 417a 3

Work for a candidate or campaign

During the past year did you ... (Check all that apply)
3215
49684
0
0
0

1
2
8
9
-1

CC16 417a 4

selected
not selected
skipped
not asked
No Data
Donate money to a candidate, campaign, or political
organization

During the past year did you ... (Check all that apply)
12390
40509
0
0
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC16 417a 5

Donate blood

During the past year did you ... (Check all that apply)
6933
45966
0
0
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

108

CC16 417a 6

None of these

During the past year did you ... (Check all that apply)
30468
22431
0
0
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC16 417bx 1

Candidate for President

Please indicate to which of the following groups or people you donated money. Select all
that apply.
9964
2447
0
40488
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC16 417bx 2

Candidate for U.S. Senate in my state

Please indicate to which of the following groups or people you donated money. Select all
that apply.
1951
10460
0
40488
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC16 417bx 3

Candidate for U.S. Senate in another state

Please indicate to which of the following groups or people you donated money. Select all
that apply.
1334
11077
0
40488
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

109

CC16 417bx 4

Candidate for U.S. House in my state

Please indicate to which of the following groups or people you donated money. Select all
that apply.
1540
10871
0
40488
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC16 417bx 5

Candidate for U.S. House in another state

Please indicate to which of the following groups or people you donated money. Select all
that apply.
837
11574
0
40488
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC16 417bx 6

Candidate for state office

Please indicate to which of the following groups or people you donated money. Select all
that apply.
1388
11023
0
40488
0

1
2
8
9
-1

CC16 417bx 7

selected
not selected
skipped
not asked
No Data
Political party committee (such as the DNC or RNC)

Please indicate to which of the following groups or people you donated money. Select all
that apply.
3085
9326
0
40488
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

110

CC16 417bx 8

Political action committee at work (such as corporate or union
PAC)

Please indicate to which of the following groups or people you donated money. Select all
that apply.
1051
11360
0
40488
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC16 417bx 9

Political group (not at your work)

Please indicate to which of the following groups or people you donated money. Select all
that apply.
889
11522
0
40488
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC16 417bx 10

Other

Please indicate to which of the following groups or people you donated money. Select all
that apply.
666
11745
0
40488
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

111

CC16 417c

Political Donation Amount

Approximately how much did you contribute to all candidates and committees over the last
year?
Min.
1st Qu.
Median
Mean
3rd Qu.
Max.
NA’s

1.00
40.00
100.00
1158.70
250.00
1000000.00
52472.00

CC16 417e 1

Campaign contributions are an effective way to influence public
policy

Thinking about campaign contributions in general, to what extent do you agree or disagree
with the following statements?
348
590
1426
2308
827
24
47376
0

1
2
3
4
5
8
9
-1

CC16 417e 2

Strongly disagree
Somewhat disagree
Neither agree nor disagree
Somewhat agree
Strongly agree
skipped
not asked
No Data
Campaign contributions are an effective way to help my
business/industry

Thinking about campaign contributions in general, to what extent do you agree or disagree
with the following statements?
831
789
2395
1042
432
34
47376
0

1
2
3
4
5
8
9
-1

Strongly disagree
Somewhat disagree
Neither agree nor disagree
Somewhat agree
Strongly agree
skipped
not asked
No Data

112

CC16 417e 3

Campaign contributions allow me to be part of a network with
other contributors

Thinking about campaign contributions in general, to what extent do you agree or disagree
with the following statements?
465
494
1731
2112
680
41
47376
0

1
2
3
4
5
8
9
-1

CC16 417e 4

Strongly disagree
Somewhat disagree
Neither agree nor disagree
Somewhat agree
Strongly agree
skipped
not asked
No Data
I prefer to give directly to candidates rather than contribute
money to a political party organization

Thinking about campaign contributions in general, to what extent do you agree or disagree
with the following statements?
178
253
879
1745
2446
22
47376
0

1
2
3
4
5
8
9
-1

CC16 417e 5

Strongly disagree
Somewhat disagree
Neither agree nor disagree
Somewhat agree
Strongly agree
skipped
not asked
No Data
For anyone who can afford to contribute, it is a civic duty to
contribute financially to campaigns.

Thinking about campaign contributions in general, to what extent do you agree or disagree
with the following statements?
1563
881
1699
971
385
24
47376
0

1
2
3
4
5
8
9
-1

Strongly disagree
Somewhat disagree
Neither agree nor disagree
Somewhat agree
Strongly agree
skipped
not asked
No Data

113

CC16 425a

Contacted by candidate/political org

Did a candidate or political campaign organization contact you during the 2016 election?
28570
24266
63
0
0

1
2
8
9
-1

Yes
No
skipped
not asked
No Data

CC416 25b 1

In person

How did these candidates or campaigns contact you? Check all that apply.
5848
22723
0
24328
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC416 25b 2

Phone call

How did these candidates or campaigns contact you? Check all that apply.
20943
7628
0
24328
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC416 25b 3

Email or text message

How did these candidates or campaigns contact you? Check all that apply.
15428
13143
0
24328
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

114

CC416 25b 4

Letter or post card

How did these candidates or campaigns contact you? Check all that apply.
14961
13610
0
24328
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC16 418a

Run for Office

Have you ever run for elective office at any level of government (local, state or federal)?
1998
50725
176
0
0

1
2
8
9
-1

Yes
No
skipped
not asked
No Data

CC16 418bx 1

School Board

Which of the following offices have you run for? Select all that apply.
530
1469
0
50900
0

1
2
8
9
-1

CC16 418bx 2

selected
not selected
skipped
not asked
No Data
Other local board or commission (e.g. zoning commission)

Which of the following offices have you run for? Select all that apply.
401
1598
0
50900
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

115

CC16 418bx 3

City Council

Which of the following offices have you run for? Select all that apply.
656
1343
0
50900
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC16 418bx 4

Mayor

Which of the following offices have you run for? Select all that apply.
257
1742
0
50900
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC16 418bx 5

City or District Attorney

Which of the following offices have you run for? Select all that apply.
173
1826
0
50900
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC16 418bx 6

Countywide office (e.g. supervisor)

Which of the following offices have you run for? Select all that apply.
214
1785
0
50900
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

116

CC16 418bx 7

State legislature

Which of the following offices have you run for? Select all that apply.
283
1716
0
50900
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC16 418bx 8

Statewide office

Which of the following offices have you run for? Select all that apply.
114
1885
0
50900
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC16 418bx 9

Federal legislature (U.S. House or Senate)

Which of the following offices have you run for? Select all that apply.
92
1907
0
50900
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC16 418bx 10

Judge

Which of the following offices have you run for? Select all that apply.
61
1938
0
50900
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

117

CC16 418bx 11

Other

Which of the following offices have you run for? Select all that apply.
353
1646
0
50900
0

1
2
8
9
-1

selected
not selected
skipped
not asked
No Data

CC16 421a

Party Identification

Generally speaking, do you think of yourself as a ... ?
20270
14245
15787
2595
2
0
0

1
2
3
4
8
9
-1

Democrat
Republican
Independent
Other
skipped
not asked
No Data

CC16 421 dem

Strong Democrat

Would you call yourself a strong Democrat or not so strong Democrat?
13036
7207
30
32626
0

1
2
8
9
-1

Strong Democrat
Not so strong Democrat
skipped
not asked
No Data

CC16 421 rep

Strong Republican

Would you call yourself a strong Republican or not so strong Republican?
7846
6384
15
38654
0

1
2
8
9
-1

Strong Republican
Not so strong Republican
skipped
not asked
No Data

118

CC16 421b

Party Leaners

Do you think of yourself as closer to the Democratic or the Republican party?
4654
4729
8118
836
46
34516
0

1
2
3
8
98
99
-1

The Democratic Party
The Republican Party
Neither
Not sure
skipped
not asked
No Data

CC16 422c

Angry Racism Exists

I am angry that racism exists.
30700
11780
7913
1384
1057
65
0
0

1
2
3
4
5
8
9
-1

Strongly agree
Somewhat agree
Neither agree nor disagree
Somewhat disagree
Strongly disagree
skipped
not asked
No Data

CC16 422d

Racial Advantages

White people in the U.S. have certain advantages because of the color of their skin.
14815
13162
8926
6627
9307
62
0
0

1
2
3
4
5
8
9
-1

Strongly agree
Somewhat agree
Neither agree nor disagree
Somewhat disagree
Strongly disagree
skipped
not asked
No Data

119

CC16 422e

Racial Fear

I often find myself fearful of people of other races.
1364
6383
11967
12828
20233
124
0
0

1
2
3
4
5
8
9
-1

Strongly agree
Somewhat agree
Neither agree nor disagree
Somewhat disagree
Strongly disagree
skipped
not asked
No Data

CC16 422f

Racial Problems Isolated

Racial problems in the U.S. are rare, isolated situations.
2837
7712
8765
15810
17654
121
0
0

1
2
3
4
5
8
9
-1

Strongly agree
Somewhat agree
Neither agree nor disagree
Somewhat disagree
Strongly disagree
skipped
not asked
No Data

CC16 423a

House Candidate 1

What is the race or ethnicity of the following candidates or politicians?
25538
4780
2832
964
749
16414
1597
25
0

1
2
3
4
5
6
8
9
-1

White
Black
Hispanic
Asian
Other
Not sure
skipped
not asked
No Data

120

CC16 423b

House Candidate 2

What is the race or ethnicity of the following candidates or politicians?
32500
1119
2151
333
397
14509
1852
38
0

1
2
3
4
5
6
8
9
-1

White
Black
Hispanic
Asian
Other
Not sure
skipped
not asked
No Data

CC16 423c

Current U.S. Representative

What is the race or ethnicity of the following candidates or politicians?
4450
320
174
65
30
1115
45962
783
0

1
2
3
4
5
6
8
9
-1

White
Black
Hispanic
Asian
Other
Not sure
skipped
not asked
No Data

CC16 426 1

Welfare

State legislatures must make choices when making spending decisions on important state
programs. Would you like your legislature to increase or decrease spending on the five areas
below?
4995
7657
19534
10176
10398
139
0
0

1
2
3
4
5
8
9
-1

Greatly increase
Slightly increase
Maintain
Slightly decrease
Greatly decrease
skipped
not asked
No Data

121

CC16 426 2

Health Care

State legislatures must make choices when making spending decisions on important state
programs. Would you like your legislature to increase or decrease spending on the five areas
below?
13550
14765
16781
4562
3096
145
0
0

1
2
3
4
5
8
9
-1

Greatly increase
Slightly increase
Maintain
Slightly decrease
Greatly decrease
skipped
not asked
No Data

CC16 426 3

Education

State legislatures must make choices when making spending decisions on important state
programs. Would you like your legislature to increase or decrease spending on the five areas
below?
18166
15144
14460
2993
1969
167
0
0

1
2
3
4
5
8
9
-1

Greatly increase
Slightly increase
Maintain
Slightly decrease
Greatly decrease
skipped
not asked
No Data

CC16 426 4

Law Enforcement

State legislatures must make choices when making spending decisions on important state
programs. Would you like your legislature to increase or decrease spending on the five areas
below?
11346
17417
19428
3052
1449
207
0
0

1
2
3
4
5
8
9
-1

Greatly increase
Slightly increase
Maintain
Slightly decrease
Greatly decrease
skipped
not asked
No Data

122

CC16 426 5

Transportation/Infrastructure

State legislatures must make choices when making spending decisions on important state
programs. Would you like your legislature to increase or decrease spending on the five areas
below?
13764
17798
17793
2451
921
172
0
0

1
2
3
4
5
8
9
-1

Greatly increase
Slightly increase
Maintain
Slightly decrease
Greatly decrease
skipped
not asked
No Data

CC16 427 a

The schools

Thinking now about your local community, how would you grade the following:
7241
16651
20745
5969
2185
108
0
0

1
2
3
4
5
8
9
-1

A - Excellent
B Above Average
C - Average
D Below Average
F Poor
skipped
not asked
No Data

CC16 427 b

The police

Thinking now about your local community, how would you grade the following:
7772
18170
21320
3881
1627
129
0
0

1
2
3
4
5
8
9
-1

A - Excellent
B Above Average
C - Average
D Below Average
F Poor
skipped
not asked
No Data

123

CC16 427 c

The roads

Thinking now about your local community, how would you grade the following:
2451
10461
23556
12038
4268
125
0
0

1
2
3
4
5
8
9
-1

A - Excellent
B Above Average
C - Average
D Below Average
F Poor
skipped
not asked
No Data

CC16 427 d

Zoning and development

Thinking now about your local community, how would you grade the following:
2246
10045
28228
8751
3423
206
0
0

1
2
3
4
5
8
9
-1

A - Excellent
B Above Average
C - Average
D Below Average
F Poor
skipped
not asked
No Data

CC16 427 e

The Mayor or Town/City Manager

Thinking now about your local community, how would you grade the following:
4241
11024
24447
4831
3834
4350
172
0
0

1
2
3
4
5
6
8
9
-1

A - Excellent
B Above Average
C - Average
D Below Average
F Poor
Not applicable
skipped
not asked
No Data

124

CC16 427 f

The Town/City Council

Thinking now about your local community, how would you grade the following:
2566
9701
26370
6465
3711
3752
334
0
0

1
2
3
4
5
6
8
9
-1

A - Excellent
B Above Average
C - Average
D Below Average
F Poor
Not applicable
skipped
not asked
No Data

125

Vote Validation
Individual records were matched to the Catalist database of registered voters in the United
States. Matching was performed in June, 2017. States have updated their vote history data
by May of the year following the election year. It should be noted that a record may not
be matched either because the individual is not registered to vote or because of incomplete
or inaccurate information that prevented a match. Matches are made only with records for
which there is a high level of confidence that the respondent is being assigned to the correct
record. However, even by setting a high threshold of confidence, there will still be some
false-positives which should be considered when using the validation records.
Among the CCES 2016 records that were matched to the voter files (i.e., were registered),
approximately 80 percent were determined to have voted in the 2016 General Election and
47 percent were determined to have voted in the 2016 Primary Elections.
There are three possible ways to measure turnout in the 2016 CCES using the validation
variables. Two use only the “E2016GVM” vote validation variable while the third uses
this variable in conjunction with self-reported registration (votereg post) and self-reported
turnout (CC16 401).
1. Un-matched as non-voters. The first specification defines voters as respondents
with a validated voting record no matter their mode of participation, and defines nonvoters as both matched non-voters and non-matched respondents. This specification
retains the integrity of the full CCES sample, no missing values are created. The justification for this approach is the fact that the most common reason that Catalist will
not have a record for an individual is because that individual is not registered to vote.
Indeed, rates of self-reported non-registration and non-voting are much higher among
un-matched respondents than among those for whom there is a match.
2. Only matched non-voters as non-voters. The second specification defines nonvoters as only matched non-voters. This specification reduces the CCES sample and
results in validated turnout estimates that are larger than those in the first specification. However, this specification increases the level of certainty in the identification
of non-voters in the CCES, because there could possibly be actual voters among nonmatched respondents.
3. Matched non-voters and self-reported non-voters as non-voters. The third
specification defines non-voters as (1) matched non-voters, (2) non-matched respondents who reported not being registered to vote in the “votereg post” question, and (3)
non-matched respondents who are self-reported non-voters in the “CC16 401” question.
This definition excludes non-matched respondents who are self-reported voters (these
individuals would be coded as missing). This definition assumes that self-reported
non-voters are honest about their non-participation because there is no incentive to go
against the democratic norm of participation.

126

CL matched
43403
21197

Catalist - Panelist matched to voter file
Matched to Voter File
Not Matched to Voter File

CL voterstatus
38739
1236
496
363
2569

Catalist - Voter Status
Active
Dropped
Inactive
Multiple Appearances
Unregistered

CL state

Catalist - Voter file matched state
Alphabetical list of states

Catalist - Party affiliation

CL partyaffiliation
8
10592
774
88
428
155
3556
266
1
7555
19081

CST (Constitution Party)
DEM (Democratic Party)
DTS (Decline to State)
GRE (Green Party)
IND (Independent)
LIB (Libertarian)
NPA (No Party Affiliation)
OTH (Other)
REF (Reform Party)
REP (Republican Party)
UNK (Unknown/No Party Registration)

CL E2016GVM
4547
5270
4356
10870
9086

Catalist - 2016 General election voting method
absentee
early
mail
polling
unknown

127

CL E2016PVM
1411
986
1397
2490
1056

Catalist - 2016 Primary election voting method
absentee
earlyVote
mail
polling
unknown

CL E2016PPEP
6055
5310
CL E2016PPVM
1722
2260
2115
8437
5513

Catalist - 2016 Presidential Primary election party
DEM
REP
Catalist - 2016 Presidential Primary election voting method
absentee
earlyVote
mail
polling
unknown

CL E2016PEP
1037
1135

Catalist - 2016 Primary election party
DEM
REP

128

Part IV
Contextual Variables
Contextual variables consist of the names and parties of the candidates for U. S. House, U.
S. Senate, and Governor. For all offices, Candidate 1 is the Democrat and Candidate 2 is
the Republican, except when no Democrat is running. When no Democrat is running, the
Republican is listed as Candidate 1. When only one candidate is running, Candidate 2 is
listed as “NA”.

Pre-Election Survey Contextual Variables
CurrentGovParty

192
24981
115
39312
CurrentHouseGender

448
12840
51312

Current Governor Party

Democratic
Independent
Republican
Current House Gender

F
M

CurrentHouseParty

448
27786
36366

Current House Party

Democratic
Republican

129

CurrentSen1Gender

192
15799
48609

Current Senate 1 Gender

F
M

CurrentSen1Party

192
41190
1083
22135

Current Senate 1 Party

Democratic
Democratic-Farmer-Labor
Republican

CurrentSen2Gender

192
15057
49351

Current Senate 2 Gender

F
M

CurrentSen2Party

192
26069
1083
461
36795

Current Senate 2 Party

Democratic
Democratic-Farmer-Labor
Independent
Republican

GovCand1Incumbent

61943
2657

Governor Candidate 1 Incumbent

0
1

130

GovCand1Party

55372
9228

Governor Candidate 1 Party

Democratic

GovCand2Party

55372
9228

Governor Candidate 2 Party

Republican

GovCand3Party

61864
1022
1714

Governor Candidate 3 Party

Independent Party of Oregon
Libertarian

HouseCand1Incumbent

39796
24804

House Candidate 1 Incumbent

0
1

HouseCand1Party

1715
60956
94
141
1512
182

House Candidate 1 Party

Democratic
Green
Independent
Libertarian
Republican

131

HouseCand2Incumbent

32768
31832

House Candidate 2 Incumbent

0
1

HouseCand2Party

2147
315
1007
484
809
132
59706

House Candidate 2 Party

Conservative Party
Democratic
Independent
Libertarian
Liberty Union
Republican

HouseCand3Party

62566
109
500
991
342
92

House Candidate 3 Party

Conservative Party
Democratic
Green
Libertarian
Republican

SenCand1Incumbent

55728
8872

Senate Candidate 1 Incumbent

0
1

SenCand1Party

17032
47568

Senate Candidate 1 Party

Democratic

132

SenCand2Incumbent

35906
28694

Senate Candidate 2 Incumbent

0
1

SenCand2Party

17032
6021
41547

Senate Candidate 2 Party

Democratic
Republican

SenCand3Party

60928
326
689
2657

Senate Candidate 3 Party

Constitution
Democratic
Libertarian

133

Post-Election Survey Contextual Variables
CurrentGovParty post

11855
20484
96
32165
CurrentHouseGender post

12052
10226
42322

Current Governor Party - post

Democratic
Independent
Republican
Current House Gender - post

F
M

CurrentHouseParty post

12052
22044
30504

Current House Party - post

Democratic
Republican

CurrentSen1Gender post

11855
13063
39682

Current Senate 1 Gender - post

F
M

CurrentSen1Party post

11855
33818
937
17990

Current Senate 1 Party - post

Democratic
Democratic-Farmer-Labor
Republican
134

CurrentSen2Gender post

11855
12205
40540

Current Senate 2 Gender - post

F
M

CurrentSen2Party post

11855
21265
937
414
30129

Current Senate 2 Party - post

Democratic
Democratic-Farmer-Labor
Independent
Republican

GovCand1Incumbent post

11701
50646
2253

Governor Candidate 1 Incumbent - post

0
1

GovCand1Party post

56872
7728

Governor Candidate 1 Party - post

Democratic

GovCand2Incumbent post

11701
50833
2066

Governor Candidate 2 Incumbent - post

0
1

135

GovCand2Party post

56872
7728

Governor Candidate 2 Party - post

Republican

HouseCand1Incumbent post

11701
33184
19715

House Candidate 1 Incumbent - post

0
1

HouseCand1Party post

13121
49925
74
117
1209
154

House Candidate 1 Party - post

Democratic
Green
Independent
Libertarian
Republican

HouseCand2Incumbent post

11701
26241
26658

House Candidate 2 Incumbent - post

0
1

136

HouseCand2Party post

13382
214
749
382
650
118
49105

House Candidate 2 Party - post

Conservative Party
Democratic
Independent
Libertarian
Liberty Union
Republican

HouseCand3Party post

62998
69
396
770
296
71

House Candidate 3 Party - post

Conservative Party
Democratic
Green
Libertarian
Republican

SenCand1Incumbent post

11701
45689
7210

Senate Candidate 1 Incumbent - post

0
1

SenCand1Party post

25610
38990

Senate Candidate 1 Party - post

Democratic

137

SenCand2Incumbent post

11701
29255
23644

Senate Candidate 2 Incumbent - post

0
1

SenCand2Party post

Senate Candidate 2 Party - post

25610
4821
34169

Democratic
Republican

SenCand3Party post

Senate Candidate 3 Party - post

61600
281
544
2175

Constitution
Democratic
Libertarian

Senate
Table 4: U.S. Senate, 115th Congress
State
Alabama
Alaska
Arizona
Arkansas
California
Colorado
Connecticut
Delaware

N
792
115
1,507
538
6,021
1,022
732
267

CurrentSen1
Richard Shelby(R)
Lisa Murkowski(R)
John McCain(R)
John Boozman(R)
Dianne Feinstein(D)
Michael Bennet(D)
Richard Blumenthal(D)
Tom Carper(D)

138

CurrentSen2
Jeff Sessions(R)
Dan Sullivan(R)
Jeff Flake(R)
Tom Cotton(R)
Barbara Boxer(D)
Cory Gardner(R)
Chris Murphy(D)
Chris Coons(D)
Continued on next page

Table
State
N
Florida
4,988
Georgia
2,062
Hawaii
200
Idaho
326
Illinois
2,634
Indiana
1,397
Iowa
688
Kansas
541
Kentucky
933
Louisiana
689
Maine
329
Maryland
1,200
Massachusetts
1,442
Michigan
2,110
Minnesota
1,083
Mississippi
409
Missouri
1,309
Montana
191
Nebraska
370
Nevada
695
New Hampshire
376
New Jersey
1,831
New Mexico
383
New York
4,320
North Carolina 2,004
North Dakota
126
Ohio
2,698
Oklahoma
624
Oregon
1,022
Pennsylvania
3,524
Rhode Island
212
South Carolina
857
South Dakota
167
Tennessee
1,215
Texas
4,462
Utah
531
Vermont
132
Virginia
2,008
Washington
1,444
West Virginia
429
Wisconsin
1,354
Wyoming
99

4 – continued from previous page
CurrentSen1
CurrentSen2
Bill Nelson(D)
Marco Rubio(R)
Johnny Isakson(R)
David Perdue(R)
Brian Schatz(D)
Mazie Hirono(D)
Mike Crapo(R)
Jim Risch(R)
Dick Durbin(D)
Mark Kirk(R)
Dan Coats(R)
Joe Donnelly(D)
Chuck Grassley(R)
Joni Ernst(R)
Pat Roberts(R)
Jerry Moran(R)
Mitch McConnell(R)
Rand Paul(R)
David Vitter(R)
Bill Cassidy(R)
Susan Collins(R)
Angus King(D)
Barbara Mikulski(D)
Ben Cardin(D)
Elizabeth Warren(D)
Ed Markey(D)
Debbie Stabenow(D)
Gary Peters(D)
Amy Klobuchar(D)
Al Franken(D)
Thad Cochran(R)
Roger Wicker(R)
Claire McCaskill(D)
Roy Blunt(R)
Jon Tester(D)
Steve Daines(R)
Deb Fischer(R)
Ben Sasse(R)
Harry Reid(D)
Dean Heller(R)
Jeanne Shaheen(D)
Kelly Ayotte(R)
Bob Menendez(D)
Cory Booker(D)
Tom Udall(D)
Martin Heinrich(D)
Chuck Schumer(D)
Kirsten Gillibrand(D)
Richard Burr(R)
Thom Tillis(R)
John Hoeven(R)
Heidi Heitkamp(D)
Sherrod Brown(D)
Rob Portman(R)
Jim Inhofe(R)
James Lankford(R)
Ron Wyden(D)
Jeff Merkley(D)
Bob Casey Jr.(D)
Pat Toomey(R)
Jack Reed(D)
Sheldon Whitehouse(D)
Lindsey Graham(R)
Tim Scott(R)
John Thune(R)
Mike Rounds(R)
Lamar Alexander(R)
Bob Corker(R)
John Cornyn(R)
Ted Cruz(R)
Orrin Hatch(R)
Mike Lee(R)
Patrick Leahy(D)
Bernie Sanders(D)
Mark Warner(D)
Tim Kaine(D)
Patty Murray(D)
Maria Cantwell(D)
Joe Manchin(D)
Shelley Moore Capito(R)
Ron Johnson(R)
Tammy Baldwin(D)
Mike Enzi(R)
John Barrasso(R)

139

Table 5: United States Senate, 116th Congress

140

State
Alabama
Alaska
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
District of Columbia
Florida
Georgia
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wyoming

N
792
115
1,507
538
6,021
1,022
732
267
192
4,988
2,062
200
326
2,634
1,397
688
541
933
689
329
1,200
1,442
2,110
1,083
409
1,309
191
370
695
376
1,831
383
4,320
2,004
126
2,698
624
1,022
3,524
212
857
167
1,215
4,462
531
132
2,008
1,444
429
1,354
99

Incumbent
Richard C. Shelby(R)
Lisa Murkowski(R)
John McCain(R)
John Boozman(R)
open
Michael Bennet(D)
Richard Blumenthal(D)

Marco Rubio(R)
Johnny Isakson(R)
Brian Schatz(D)
Mike Crapo(R)
Mark Steven Kirk(R)
Todd Young(R)
Charles E. Grassley(R)
Jerry Moran(R)
Rand Paul(R)
John Neely Kennedy(R)
Chris Van Hollen(D)

Roy Blunt(R)

Catherine Cortez Masto(D)
Maggie Hassan(D)

Charles E. Schumer(D)
Richard Burr(R)
John Hoeven(R)
Rob Portman(R)
James Lankford(R)
Ron Wyden(D)
Pat Toomey(R)
Tim Scott(R)
John R. Thune(R)

Mike Lee(R)
Patrick Leahy(D)
Patty Murray(D)
Ron Johnson(R)

SenCand1 - Name, Party, and Vote
Ron Crumpton(D)
35.8
Ray Metcalfe(D)
11.6
Ann Kirkpatrick(D)
41.1
Conner Eldridge(D)
36.2
Kamala D. Harris(D)
62.4
Michael Bennet(D)
49.1
Richard Blumenthal(D)
62.9
(-)
(-)
Patrick E. Murphy(D)
44.3
Jim Barksdale(D)
40.8
Brian Schatz(D)
73.6
Jerry Sturgill(D)
27.8
Tammy Duckworth(D)
54.4
Evan Bayh(D)
42.4
Patty Judge(D)
35.7
Patrick Wiesner(D)
32.1
Jim Gray(D)
42.7
Caroline Fayard(D)
12.5
(-)
Chris Van Hollen(D)
60.4
(-)
(-)
(-)
(-)
Jason Kander(D)
46.2
(-)
(-)
Catherine Cortez Masto(D)
47.1
Maggie Hassan(D)
48
(-)
(-)
Charles E. Schumer(D)
70.4
Deborah K. Ross(D)
45.3
Eliot Glassheim(D)
17
Ted Strickland(D)
36.9
Mike Workman(D)
24.6
Ron Wyden(D)
56.7
Katie McGinty(D)
47.2
(-)
Thomas Dixon(D)
37
Jay Williams(D)
28.2
(-)
(-)
Misty K. Snow(D)
27.4
Patrick Leahy(D)
61.3
(-)
Patty Murray(D)
59.1
(-)
Russ Feingold(D)
46.8
(-)

SenCand2 - Name, Party, and Vote
Richard C. Shelby(R)
64.2
Lisa Murkowski(R)
44.4
John McCain(R)
53.4
John Boozman(R)
59.8
Loretta L. Sanchez(D)
37.6
Darryl Glenn(R)
45.4
Dan Carter(R)
34.9
(-)
(-)
Marco Rubio(R)
52
Johnny Isakson(R)
55
John Carroll(R)
22.2
Mike Crapo(R)
66.1
Mark Steven Kirk(R)
40.2
Todd Young(R)
52.1
Charles E. Grassley(R)
60.2
Jerry Moran(R)
62.4
Rand Paul(R)
57.3
John Fleming(R)
4.7
(-)
Kathy Szeliga(R)
36.4
(-)
(-)
(-)
(-)
Roy Blunt(R)
49.4
(-)
(-)
Joe Heck(R)
44.7
Kelly Ayotte(R)
47.9
(-)
(-)
Wendy Long(R)
27.4
Richard Burr(R)
51.1
John Hoeven(R)
78.6
Rob Portman(R)
58.3
James Lankford(R)
67.7
Mark Callahan(R)
33.6
Pat Toomey(R)
48.9
(-)
Tim Scott(R)
60.5
John R. Thune(R)
71.8
(-)
(-)
Mike Lee(R)
68
Scott Milne(R)
33
(-)
Chris Vance(R)
40.9
(-)
Ron Johnson(R)
50.2
(-)

SenCand3 - Name, Party, and Vote
(-)
Joe Miller(L)
29.2
(-)
Frank Gilbert(L)
4
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
Ray J. Writz(C)
6.1
(-)
(-)
(-)
(-)
(-)
Foster Campbell(D)
17.5
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
Sean Haugh(L)
3.6
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)

Governors
Table 6: State Governors, Pre-Election
State
Alabama
Alaska
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
Florida
Georgia
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island

N
792
115
1,507
538
6,021
1,022
732
267
4,988
2,062
200
326
2,634
1,397
688
541
933
689
329
1,200
1,442
2,110
1,083
409
1,309
191
370
695
376
1,831
383
4,320
2,004
126
2,698
624
1,022
3,524
212

CurrentGovName CurrentGovParty
Robert J. Bentley
Republican
Bill Walker
Independent
Doug Ducey
Republican
Asa Hutchinson
Republican
Jerry Brown
Democratic
John Hickenlooper
Democratic
Dannel Malloy
Democratic
Jack Markell
Democratic
Rick Scott
Republican
Nathan Deal
Republican
David Ige
Democratic
Butch Otter
Republican
Bruce Rauner
Republican
Mike Pence
Republican
Terry Branstad
Republican
Sam Brownback
Republican
Matt Bevin
Republican
John Edwards
Democratic
Paul LePage
Republican
Larry Hogan
Republican
Charlie Baker
Republican
Rick Snyder
Republican
Mark Dayton
Democratic
Phil Bryant
Republican
Jay Nixon
Democratic
Steve Bullock
Democratic
Pete Ricketts
Republican
Brian Sandoval
Republican
Maggie Hassan
Democratic
Chris Christie
Republican
Susana Martinez
Republican
Andrew Cuomo
Democratic
Pat McCrory
Republican
Jack Dalrymple
Republican
John Kasich
Republican
Mary Fallin
Republican
Kate Brown
Democratic
Tom Wolf
Democratic
Gina Raimondo
Democratic
Continued on next page
141

Table 6 –
State
N
South Carolina
857
South Dakota
167
Tennessee
1,215
Texas
4,462
Utah
531
Vermont
132
Virginia
2,008
Washington
1,444
West Virginia
429
Wisconsin
1,354
Wyoming
99

continued from previous page
CurrentGovName CurrentGovParty
Nikki Haley
Republican
Dennis Daugaard
Republican
Bill Haslam
Republican
Greg Abbott
Republican
Gary Herbert
Republican
Peter Shumlin
Democratic
Terry McAuliffe
Democratic
Jay Inslee
Democratic
Earl Ray Tomblin
Democratic
Scott Walker
Republican
Matt Mead
Republican

142

Table 7: Governors, Post-Election

143

State
Alabama
Alaska
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
Florida
Georgia
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont

N
792
115
1,507
538
6,021
1,022
732
267
4,988
2,062
200
326
2,634
1,397
688
541
933
689
329
1,200
1,442
2,110
1,083
409
1,309
191
370
695
376
1,831
383
4,320
2,004
126
2,698
624
1,022
3,524
212
857
167
1,215
4,462
531
132

Incumbent
0
0
0
0
0
0
0
open
0
0
0
0
0
open
0
0
0
0
0
0
0
0
0
0
open
Steve Bullock(D)
0
0
open
0
0
0
Pat McCrory(R)
0
0
0
Kate Brown(D)
0
0
0
0
0
0
Gary R. Herbert(R)
open

GovCand1 - Name, Party, and Vote
(-)
(-)
(-)
(-)
(-)
(-)
(-)
John C. Carney Jr.(D)
58.3
(-)
(-)
(-)
(-)
(-)
John R. Gregg(D)
45.4
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
Chris Koster(D)
45.4
Steve Bullock(D)
50.2
(-)
(-)
Colin Van Ostern(D)
46.7
(-)
(-)
(-)
Roy Cooper(D)
49
Marvin E. Nelson(D)
19.4
(-)
(-)
Kate Brown(D)
50.5
(-)
(-)
(-)
(-)
(-)
(-)
Mike Weinholtz(D)
28.9
Sue Minter(D)
44.2

GovCand2 - Name, Party, and Vote
(-)
(-)
(-)
(-)
(-)
(-)
(-)
Colin Bonini(R)
39.2
(-)
(-)
(-)
(-)
(-)
Eric Holcomb(R)
51.4
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
Eric Greitens(R)
51.3
Greg Gianforte(R)
46.4
(-)
(-)
Chris Sununu(R)
49
(-)
(-)
(-)
Pat McCrory(R)
48.9
Doug Burgum(R)
76.7
(-)
(-)
Bud Pierce(R)
43.8
(-)
(-)
(-)
(-)
(-)
(-)
Gary R. Herbert(R)
66.6
Phil Scott(R)
52.9

GovCand3 - Name, Party, and Vote
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
Rex Bell(L)
3.2
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
Ted Dunlap(L)
3.4
(-)
(-)
(-)
(-)
(-)
(-)
(-)
Marty Riske(L)
3.9
(-)
(-)
Cliff Thomason(I O)
2.4
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
Continued on next page

State
Virginia
Washington
West Virginia
Wisconsin
Wyoming

N
2,008
1,444
429
1,354
99

Incumbent
0
Jay Inslee(D)
open
0
0

Table 7 – continued from previous page
GovCand1 - Name, Party, and Vote
GovCand2 - Name, Party, and Vote
(-)
(-)
Jay Inslee(D)
54.5 Bill Bryant(R)
45.5
Jim Justice(D)
49.1 Bill Cole(R)
42.3
(-)
(-)
(-)
(-)

GovCand2 - Name, Party, and Vote
(-)
(-)
(-)
(-)
(-)

144

House
Table 8: U.S. House of Representatives, 115th Congress
State
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alaska
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
Arkansas
Arkansas
Arkansas
Arkansas
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California

District
1
2
3
4
5
6
7
1
1
2
3
4
5
6
7
8
9
1
2
3
4
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18

N
105
125
107
94
123
104
134
115
111
208
136
187
143
198
131
194
199
129
139
144
126
118
100
126
120
124
135
144
135
93
102
131
163
108
168
118
86
133
115

Member
Bradley Byrne
Martha Roby
Mike Rogers
Robert Aderholt
Mo Brooks
Gary Palmer
Terri Sewell
Don Young
Ann Kirkpatrick
Martha McSally
Raul Grijalva
Paul Gosar
Matt Salmon
David Schweikert
Ruben Gallego
Trent Franks
Kyrsten Sinema
Rick Crawford
French Hill
Steve Womack
Bruce Westerman
Doug LaMalfa
Jared Huffman
John Garamendi
Tom McClintock
Mike Thompson
Doris Matsui
Ami Bera
Paul Cook
Jerry McNerney
Jeff Denham
Mark DeSaulnier
Nancy Pelosi
Barbara Lee
Jackie Speier
Eric Swalwell
Jim Costa
Mike Honda
Anna Eshoo

145

Party
Republican
Republican
Republican
Republican
Republican
Republican
Democratic
Republican
Democratic
Republican
Democratic
Republican
Republican
Republican
Democratic
Republican
Democratic
Republican
Republican
Republican
Republican
Republican
Democratic
Democratic
Republican
Democratic
Democratic
Democratic
Republican
Democratic
Republican
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Continued on next page

State
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado

Table 8 – continued from previous page
District N
Member
19
130 Zoe Lofgren
20
75 Sam Farr
21
65 David Valadao
22
77 Devin Nunes
23
121 Kevin McCarthy
24
117 Lois Capps
25
125 Steve Knight
26
88 Julia Brownley
27
129 Judy Chu
28
144 Adam Schiff
29
71 Tony Cardenas
30
132 Brad Sherman
31
104 Pete Aguilar
32
96 Grace Napolitano
33
166 Ted Lieu
34
129 Xavier Becerra
35
89 Norma Torres
36
129 Raul Ruiz
37
137 Karen Bass
38
101 Linda Sanchez
39
104 Ed Royce
40
76 Lucille Roybal-Allard
41
101 Mark Takano
42
111 Ken Calvert
43
128 Maxine Waters
44
75 Janice Hahn
45
122 Mimi Walters
46
67 Loretta Sanchez
47
127 Alan Lowenthal
48
95 Dana Rohrabacher
49
90 Darrell Issa
50
115 Duncan D. Hunter
51
104 Juan Vargas
52
142 Scott Peters
53
120 Susan Davis
1
146 Diana DeGette
2
137 Jared Polis
3
129 Scott Tipton
4
121 Ken Buck
5
185 Doug Lamborn
6
136 Mike Coffman
7
168 Ed Perlmutter
Continued
146

Party
Democratic
Democratic
Republican
Republican
Republican
Democratic
Republican
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Republican
Democratic
Democratic
Republican
Democratic
Democratic
Republican
Democratic
Democratic
Republican
Republican
Republican
Democratic
Democratic
Democratic
Democratic
Democratic
Republican
Republican
Republican
Republican
Democratic
on next page

Table 8 – continued from previous page
State
District N
Member
Connecticut
1
123 John B. Larson
Connecticut
2
159 Joe Courtney
Connecticut
3
160 Rosa DeLauro
Connecticut
4
123 Jim Himes
Connecticut
5
167 Elizabeth Esty
Delaware
1
267 John Carney
District of Columbia
1
192 Eleanor Holmes Norton
Florida
1
175 Jeff Miller
Florida
2
193 Gwen Graham
Florida
3
180 Ted Yoho
Florida
4
184 Ander Crenshaw
Florida
5
150 Corrine Brown
Florida
6
187 Ron DeSantis
Florida
7
226 John Mica
Florida
8
189 Bill Posey
Florida
9
204 Alan Grayson
Florida
10
216 Daniel Webster
Florida
11
283 Rich Nugent
Florida
12
252 Gus Bilirakis
Florida
13
219 David Jolly
Florida
14
178 Kathy Castor
Florida
15
189 Dennis Ross
Florida
16
203 Vern Buchanan
Florida
17
142 Tom Rooney
Florida
18
169 Patrick Murphy
Florida
19
154 Curt Clawson
Florida
20
131 Alcee Hastings
Florida
21
158 Ted Deutch
Florida
22
184 Lois Frankel
Florida
23
147 Debbie Wasserman Schultz
Florida
24
200 Frederica Wilson
Florida
25
131 Mario Diaz-Balart
Florida
26
181 Carlos Curbelo
Florida
27
163 Ileana Ros-Lehtinen
Georgia
1
128 Buddy Carter
Georgia
2
116 Sanford Bishop
Georgia
3
138 Lynn Westmoreland
Georgia
4
207 Hank Johnson
Georgia
5
187 John Lewis
Georgia
6
141 Tom Price
Georgia
7
146 Rob Woodall
Georgia
8
113 Austin Scott
Continued
147

Party
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Republican
Democratic
Republican
Republican
Democratic
Republican
Republican
Republican
Democratic
Republican
Republican
Republican
Republican
Democratic
Republican
Republican
Republican
Democratic
Republican
Democratic
Democratic
Democratic
Democratic
Democratic
Republican
Republican
Republican
Republican
Democratic
Republican
Democratic
Democratic
Republican
Republican
Republican
on next page

State
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Hawaii
Hawaii
Idaho
Idaho
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Iowa
Iowa
Iowa
Iowa
Kansas

Table 8 – continued from previous page
District N
Member
9
134 Doug Collins
10
142 Jody Hice
11
178 Barry Loudermilk
12
135 Rick W. Allen
13
177 David Scott
14
120 Tom Graves
1
123
2
77 Tulsi Gabbard
1
196 Raul Labrador
2
130 Mike Simpson
1
177 Bobby Rush
2
204 Robin Kelly
3
128 Dan Lipinski
4
115 Luis Gutierrez
5
149 Mike Quigley
6
157 Peter Roskam
7
158 Danny K. Davis
8
151 Tammy Duckworth
9
197 Jan Schakowsky
10
137 Robert Dold
11
143 Bill Foster
12
107 Mike Bost
13
152 Rodney Davis
14
153 Randy Hultgren
15
96 John Shimkus
16
132 Adam Kinzinger
17
153 Cheri Bustos
18
125 Darin LaHood
1
179 Pete Visclosky
2
157 Jackie Walorski
3
143 Marlin Stutzman
4
140 Todd Rokita
5
162 Susan Brooks
6
147 Luke Messer
7
174 Andre Carson
8
133 Larry Bucshon
9
162 Todd Young
1
195 Rod Blum
2
162 Dave Loebsack
3
157 David Young
4
174 Steve King
1
121 Tim Huelskamp
Continued
148

Party
Republican
Republican
Republican
Republican
Democratic
Republican
Democratic
Republican
Republican
Democratic
Democratic
Democratic
Democratic
Democratic
Republican
Democratic
Democratic
Democratic
Republican
Democratic
Republican
Republican
Republican
Republican
Republican
Democratic
Republican
Democratic
Republican
Republican
Republican
Republican
Republican
Democratic
Republican
Republican
Republican
Democratic
Republican
Republican
Republican
on next page

State
Kansas
Kansas
Kansas
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
Louisiana
Louisiana
Louisiana
Louisiana
Louisiana
Louisiana
Maine
Maine
Maryland
Maryland
Maryland
Maryland
Maryland
Maryland
Maryland
Maryland
Massachusetts
Massachusetts
Massachusetts
Massachusetts
Massachusetts
Massachusetts
Massachusetts
Massachusetts
Massachusetts
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan

Table 8 – continued from previous page
District N
Member
2
161 Lynn Jenkins
3
134 Kevin Yoder
4
125 Mike Pompeo
1
134
2
152 Brett Guthrie
3
148 John Yarmuth
4
162 Thomas Massie
5
156 Hal Rogers
6
181 Andy Barr
1
137 Steve Scalise
2
112 Cedric Richmond
3
123 Charles Boustany
4
92 John Fleming
5
97 Ralph Abraham
6
128 Garret Graves
1
164 Chellie Pingree
2
165 Bruce Poliquin
1
118 Andy Harris
2
169 Dutch Ruppersberger
3
167 John Sarbanes
4
130 Donna Edwards
5
159 Steny Hoyer
6
156 John Delaney
7
141 Elijah Cummings
8
160 Chris Van Hollen
1
160 Richard Neal
2
171 Jim McGovern
3
153 Niki Tsongas
4
143 Joe Kennedy
5
183 Katherine Clark
6
163 Seth Moulton
7
184 Mike Capuano
8
144 Stephen F. Lynch
9
141 Bill Keating
1
167 Dan Benishek
2
147 Bill Huizenga
3
155 Justin Amash
4
167 John Moolenaar
5
132 Dan Kildee
6
142 Fred Upton
7
136 Tim Walberg
8
151 Mike Bishop
Continued
149

Party
Republican
Republican
Republican
Republican
Democratic
Republican
Republican
Republican
Republican
Democratic
Republican
Republican
Republican
Republican
Democratic
Republican
Republican
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Republican
Republican
Republican
Republican
Democratic
Republican
Republican
Republican
on next page

State
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Mississippi
Mississippi
Mississippi
Mississippi
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Montana
Nebraska
Nebraska
Nebraska
Nevada
Nevada
Nevada
Nevada
New Hampshire
New Hampshire
New Jersey
New Jersey
New Jersey
New Jersey
New Jersey
New Jersey

Table 8 – continued from previous page
District N
Member
9
174 Sander Levin
10
141 Candice Miller
11
134 David Trott
12
168 Debbie Dingell
13
153 John Conyers
14
143 Brenda Lawrence
1
118 Tim Walz
2
130 John Kline
3
151 Erik Paulsen
4
140 Betty McCollum
5
172 Keith Ellison
6
126 Tom Emmer
7
118 Collin Peterson
8
128 Rick Nolan
1
89 Trent Kelly
2
115 Bennie Thompson
3
98 Gregg Harper
4
107 Steven Palazzo
1
174 William Clay
2
183 Ann Wagner
3
143 Blaine Luetkemeyer
4
151 Vicky Hartzler
5
193 Emanuel Cleaver
6
154 Sam Graves
7
170 Billy Long
8
141 Jason T. Smith
1
191 Ryan Zinke
1
136 Jeff Fortenberry
2
147 Brad Ashford
3
87 Adrian Smith
1
152 Dina Titus
2
149 Mark Amodei
3
210 Joe Heck
4
184 Cresent Hardy
1
195 Frank Guinta
2
181 Ann McLane Kuster
1
161 Donald Norcross
2
133 Frank LoBiondo
3
172 Tom MacArthur
4
133 Chris Smith
5
163 Scott Garrett
6
201 Frank Pallone
Continued
150

Party
Democratic
Republican
Republican
Democratic
Democratic
Democratic
Democratic
Republican
Republican
Democratic
Democratic
Republican
Democratic
Democratic
Republican
Democratic
Republican
Republican
Democratic
Republican
Republican
Republican
Democratic
Republican
Republican
Republican
Republican
Republican
Democratic
Republican
Democratic
Republican
Republican
Republican
Republican
Democratic
Democratic
Republican
Republican
Republican
Republican
Democratic
on next page

State
New Jersey
New Jersey
New Jersey
New Jersey
New Jersey
New Jersey
New Mexico
New Mexico
New Mexico
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina

Table 8 – continued from previous page
District N
Member
7
155 Leonard Lance
8
100 Albio Sires
9
134 Bill Pascrell
10
131 Donald Payne Jr.
11
172 Rodney Frelinghuysen
12
176 Bonnie Watson Coleman
1
172 Michelle Lujan Grisham
2
106 Steve Pearce
3
105 Ben Lujan
1
128 Lee Zeldin
2
138 Peter King
3
120 Steve Israel
4
145 Kathleen Rice
5
124 Gregory Meeks
6
121 Grace Meng
7
135 Nydia Velazquez
8
157 Hakeem Jeffries
9
158 Yvette Clarke
10
281 Jerrold Nadler
11
168 Daniel Donovan
12
293 Carolyn Maloney
13
182 Charles Rangel
14
100 Joseph Crowley
15
109 Jose Serrano
16
132 Eliot Engel
17
122 Nita Lowey
18
148 Sean Patrick Maloney
19
145 Chris Gibson
20
170 Paul Tonko
21
149 Elise Stefanik
22
158 Richard Hanna
23
169 Tom Reed
24
196 John Katko
25
181 Louise Slaughter
26
225 Brian Higgins
27
166 Chris Collins
1
155 G. K. Butterfield
2
141 Renee Ellmers
3
141 Walter Jones
4
173 David Price
5
179 Virginia Foxx
6
182 Mark Walker
Continued
151

Party
Republican
Democratic
Democratic
Democratic
Republican
Democratic
Democratic
Republican
Democratic
Republican
Republican
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Republican
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Democratic
Republican
Democratic
Republican
Republican
Republican
Republican
Democratic
Democratic
Republican
Democratic
Republican
Republican
Democratic
Republican
Republican
on next page

State
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Dakota
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oklahoma
Oregon
Oregon
Oregon
Oregon
Oregon
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania

Table 8 – continued from previous page
District N
Member
7
135 David Rouzer
8
124 Richard Hudson
9
151 Robert Pittenger
10
160 Patrick McHenry
11
133 Mark Meadows
12
152 Alma Adams
13
178 George Holding
1
126 Kevin Cramer
1
171 Steve Chabot
2
164 Brad Wenstrup
3
201 Joyce Beatty
4
159 Jim Jordan
5
185 Bob Latta
6
158 Bill Johnson
7
125 Bob Gibbs
8
125 Warren Davidson
9
209 Marcy Kaptur
10
164 Mike Turner
11
197 Marcia Fudge
12
184 Pat Tiberi
13
206 Tim Ryan
14
141 David Joyce
15
137 Steve Stivers
16
172 Jim Renacci
1
141 Jim Bridenstine
2
106 Markwayne Mullin
3
95 Frank Lucas
4
137 Tom Cole
5
145 Steve Russell
1
181 Suzanne Bonamici
2
173 Greg Walden
3
245 Earl Blumenauer
4
226 Peter DeFazio
5
197 Kurt Schrader
1
162 Bob Brady
2
191
3
189 Mike Kelly
4
175 Scott Perry
5
354 Glenn Thompson
6
187 Ryan Costello
7
143 Pat Meehan
8
174 Mike Fitzpatrick
Continued
152

Party
Republican
Republican
Republican
Republican
Republican
Democratic
Republican
Republican
Republican
Republican
Democratic
Republican
Republican
Republican
Republican
Republican
Democratic
Republican
Democratic
Republican
Democratic
Republican
Republican
Republican
Republican
Republican
Republican
Republican
Republican
Democratic
Republican
Democratic
Democratic
Democratic
Democratic
Republican
Republican
Republican
Republican
Republican
Republican
on next page

State
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Rhode Island
Rhode Island
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Dakota
Tennessee
Tennessee
Tennessee
Tennessee
Tennessee
Tennessee
Tennessee
Tennessee
Tennessee
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas

Table 8 – continued from previous page
District N
Member
9
170 Bill Shuster
10
244 Tom Marino
11
196 Lou Barletta
12
183 Keith Rothfus
13
190 Brendan F. Boyle
14
221 Michael Doyle
15
180 Charlie Dent
16
171 Joe Pitts
17
219 Matt Cartwright
18
175 Timothy F. Murphy
1
104 David Cicilline
2
108 Jim Langevin
1
129 Mark Sanford
2
124 Joe Wilson
3
113 Jeff Duncan
4
117 Trey Gowdy
5
128 Mick Mulvaney
6
128 Jim Clyburn
7
118 Tom Rice
1
167 Kristi Noem
1
137 Phil Roe
2
162 Jimmy Duncan
3
135 Chuck Fleischmann
4
129 Scott DesJarlais
5
156 Jim Cooper
6
140 Diane Black
7
128 Marsha Blackburn
8
106 Stephen Fincher
9
122 Steve Cohen
1
101 Louie Gohmert
2
136 Ted Poe
3
124 Sam Johnson
4
130 John Ratcliffe
5
118 Jeb Hensarling
6
128 Joe Barton
7
170 John Culberson
8
137 Kevin Brady
9
131 Al Green
10
156 Michael McCaul
11
87 Mike Conaway
12
134 Kay Granger
13
79 Mac Thornberry
Continued
153

Party
Republican
Republican
Republican
Republican
Democratic
Democratic
Republican
Republican
Democratic
Republican
Democratic
Democratic
Republican
Republican
Republican
Republican
Republican
Democratic
Republican
Republican
Republican
Republican
Republican
Republican
Democratic
Republican
Republican
Republican
Democratic
Republican
Republican
Republican
Republican
Republican
Republican
Republican
Republican
Democratic
Republican
Republican
Republican
Republican
on next page

State
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Utah
Utah
Utah
Utah
Vermont
Virginia
Virginia
Virginia
Virginia
Virginia
Virginia
Virginia
Virginia
Virginia
Virginia
Virginia
Washington
Washington
Washington

Table 8 – continued from previous page
District N
Member
14
124 Randy Weber
15
84 Ruben Hinojosa
16
134 Beto O’Rourke
17
118 Bill Flores
18
118 Sheila Jackson Lee
19
113 Randy Neugebauer
20
160 Joaquin Castro
21
175 Lamar S. Smith
22
126 Pete Olson
23
88 Will Hurd
24
153 Kenny Marchant
25
131 Roger Williams
26
156 Michael Burgess
27
115 Blake Farenthold
28
82 Henry Cuellar
29
82 Gene Green
30
108 Eddie Johnson
31
198 John Carter
32
166 Pete Sessions
33
71 Marc Veasey
34
92 Filemon Vela Jr.
35
143 Lloyd Doggett
36
94 Brian Babin
1
125 Rob Bishop
2
153 Chris Stewart
3
121 Jason Chaffetz
4
132 Mia Love
1
132 Peter Welch
1
199 Rob Wittman
2
137 Scott Rigell
3
229 Robert Scott
4
143 Randy Forbes
5
142 Robert Hurt
6
197 Bob Goodlatte
7
201 Dave Brat
8
191 Don Beyer
9
155 Morgan Griffith
10
259 Barbara Comstock
11
155 Gerry Connolly
1
128 Suzan DelBene
2
114 Rick Larsen
3
172 Jaime Herrera Beutler
Continued
154

Party
Republican
Democratic
Democratic
Republican
Democratic
Republican
Democratic
Republican
Republican
Republican
Republican
Republican
Republican
Republican
Democratic
Democratic
Democratic
Republican
Republican
Democratic
Democratic
Democratic
Republican
Republican
Republican
Republican
Republican
Democratic
Republican
Republican
Democratic
Republican
Republican
Republican
Republican
Democratic
Republican
Republican
Democratic
Democratic
Democratic
Republican
on next page

State
Washington
Washington
Washington
Washington
Washington
Washington
Washington
West Virginia
West Virginia
West Virginia
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wyoming

Table 8 – continued from previous page
District N
Member
4
85 Dan Newhouse
5
172 Cathy McMorris Rodgers
6
173 Derek Kilmer
7
187 Jim McDermott
8
98 Dave Reichert
9
156 Adam Smith
10
159 Dennis Heck
1
135 David McKinley
2
146 Alex Mooney
3
148 Evan Jenkins
1
162 Paul Ryan
2
203 Mark Pocan
3
158 Ron Kind
4
163 Gwen Moore
5
161 Jim Sensenbrenner
6
186 Glenn Grothman
7
147 Sean Duffy
8
174 Reid Ribble
1
99 Cynthia Lummis

155

Party
Republican
Republican
Democratic
Democratic
Republican
Democratic
Democratic
Republican
Republican
Republican
Republican
Democratic
Democratic
Democratic
Republican
Republican
Republican
Republican
Republican

Table 9: United States House of Representatives, 116th Congress
State

156

Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alabama
Alaska
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
Arkansas
Arkansas
Arkansas
Arkansas
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California

CD
1
2
3
4
5
6
7
1
1
2
3
4
5
6
7
8
9
1
2
3
4
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41

N
105
125
107
94
123
104
134
115
111
208
136
187
143
198
131
194
199
129
139
144
126
118
100
126
120
124
135
144
135
93
102
131
163
108
168
118
86
133
115
130
75
65
77
121
117
125
88
129
144
71
132
104
96
166
129
89
129
137
101
104
76
101

Incumbent
Bradley Byrne(R)
Martha Roby(R)
Mike Rogers(R)
Robert Anderholt(R)
Mo Brooks(R)
Gary Palmer(R)
Terri Sewell(D)
Don Young(R)
open
Martha McSally(R)
Raul Grijalva(D)
Paul Gosar(R)
Andy Biggs(R)
David Schweikert(R)
Ruben Gallego(D)
Trent Franks(R)
Kyrsten Sinema(D)
Rick Crawford(R)
French Hill(R)
Steve Womack(R)
Bruce Westerman(R)
Doug LaMalfa(R)
Jared Huffman(D)
John Garamendi(D)
Tom McClintock(R)
Mike Thompson(D)
Doris Matsui(D)
Ami Bera(D)
Paul Cook(R)
Jerry McNerney(D)
Jeff Denham(R)
Mark DeSaulnier(D)
Nancy Pelosi(D)
Barbara Lee(D)
Jackie Speier(D)
Eric Swalwell(D)
Jim Costa(D)
Mike Honda(D)
Anna Eshoo(D)
Zoe Lofgren(D)
open
David Valadao(R)
Devin Nunes(R)
Kevin McCarthy(R)
open
Steve Knight(R)
Julia Brownley(D)
Judy Chu(D)
Adam Schiff(D)
Tony Cardenas(D)
Brad Sherman(D)
Pete Aguilar(D)
Grace Napolitano(D)
Ted Lieu(D)
Xavier Becerra(D)
Norma Torres(D)
Raul Ruiz(D)
Karen Bass(D)
Linda Sanchez(D)
Edward Royce(R)
Lucille Roybal-Allard(D)
Mark Takano(D)

Cand1 - Name, Party, and Vote
(-)
Nathan Mathis(D)
Jesse Smith(D)
(-)
Will Boyd, Jr.(D)
David J. Putman(D)
Terri Sewell(D)
Steve Lindbeck(D)
Tom O’Halleran(D)
Matt Heinz(D)
Raul Grijalva(D)
Mikel Weisser(D)
Talia Fuentes(D)
John W. Williamson(D)
Ruben Gallego(D)
Joe DeVivo(D)
Kyrsten Sinema(D)
Mark West(L)
Dianne Curry(D)
Steve Isaacson(L)
Kerry Hicks(L)
Jim Reed(D)
Jared Huffman(D)
John Garamendi(D)
Robert W. Derlet(D)
Mike Thompson(D)
Doris Matsui(D)
Ami Bera(D)
Rita Ramirez(D)
Jerry McNerney(D)
Michael Eggman(D)
Mark DeSaulnier(D)
Nancy Pelosi(D)
Barbara Lee(D)
Jackie Speier(D)
Eric Swalwell(D)
Jim Costa(D)
Mike Honda(D)
Anna Eshoo(D)
Zoe Lofgren(D)
Jimmy Panetta(D)
Emilio Jesus Huerta(D)
Louie J. Campos(D)
Wendy Reed(D)
Salud Carbajal(D)
Bryan Caforio(D)
Julia Brownley(D)
Judy Chu(D)
Adam Schiff(D)
Tony Cardenas(D)
Brad Sherman(D)
Pete Aguilar(D)
Grace Napolitano(D)
Ted Lieu(D)
Xavier Becerra(D)
Norma Torres(D)
Raul Ruiz(D)
Karen Bass(D)
Linda Sanchez(D)
Brett Murdock(D)
Lucille Roybal-Allard(D)
Mark Takano(D)

45.4
32.9
33.2
25.2
36.5
50.8
43.3
28.5
36.9
38.4
74.6
61.1
23.5
36.8
22.7
25.1
40.5
77.1
58.2
37.2
77.2
75.2
51.2
37.3
57.6
47.6
71.8
81
90.7
80.9
73.8
57.8
38.9
71.2
74
70.6
42
31.8
30
53.2
45.8
59.9
66.5
77.9
75.2
72.4
55.7
62.4
66.3
78.2
71.8
61.4
82
69.7
42.3
71.9
64.4

Cand2 - Name, Party, and Vote
Bradley Byrne(R)
Martha Roby(R)
Mike Rogers(R)
Robert Anderholt(R)
Mo Brooks(R)
Gary Palmer(R)
(-)
Don Young(R)
Paul Babeu(R)
Martha McSally(R)
(-)
Paul Gosar(R)
Andy Biggs(R)
David Schweikert(R)
Eve Nunez(R)
Trent Franks(R)
Dave Giles(R)
Rick Crawford(R)
French Hill(R)
Steve Womack(R)
Bruce Westerman(R)
Doug LaMalfa(R)
Dale K. Mensing(R)
Eugene Cleek(R)
Tom McClintock(R)
Carlos Santamaria(R)
Robert (Bob) Evans(R)
Scott R. Jones(R)
Paul Cook(R)
Antonio C. ”Tony” Amador(R)
Jeff Denham(R)
Roger Allen Petersen(R)
Preston Picus(I)
Sue Caro(R)
Angel Cardenas(R)
Danny R. Turner(R)
Johnny M. Tacherra(R)
Ro Khanna(D)
Richard B. Fox(R)
G. Burt Lancaster(R)
Casey Lucius(R)
David Valadao(R)
Devin Nunes(R)
Kevin McCarthy(R)
Justin Donald Fareed(R)
Steve Knight(R)
Rafael A. Dagnesses(R)
Jack Orswell(R)
Lenore Solis(R)
Richard Alarcon(D)
Mark Reed(R)
Paul Chabot(R)
Roger Hernandez(D)
Kenneth W. Wright(R)
Adrienne Nicole Edwards(D)
Tyler Fischella(R)
Jeff Stone(R)
Chris Blake Wiggins(D)
Ryan Downing(R)
Edward Royce(R)
Roman Gabriel Gonzalez(I)
Doug Shepherd(R)

54.6
67.1
66.8
74.8
50.5
43.5
56.7
71.5
63.1
61.6
25.4
68.6
38.9
76.5
58.4
77.3
74.9
59.5
22.9
41.8
62.8
22.8
24.8
48.8
62.7
42.4
52.4
28.2
19
9.3
19.1
26.2
42.2
61.1
28.8
26
29.4
58
68.2
70
46.8
54.2
40.1
33.5
22.1
24.8
27.6
44.3
37.6
33.7
21.8
28.2
38.6
18
30.3
57.7
28.1
35.6

Cand3 - Name, Party, and Vote
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
Continued on next page

157

State
California
California
California
California
California
California
California
California
California
California
California
California
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Connecticut
Connecticut
Connecticut
Connecticut
Connecticut
Delaware
District of Columbia
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Florida
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia

CD
42
43
44
45
46
47
48
49
50
51
52
53
1
2
3
4
5
6
7
1
2
3
4
5
1
1
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
1
2
3
4
5
6
7
8
9
10
11

N
111
128
75
122
67
127
95
90
115
104
142
120
146
137
129
121
185
136
168
123
159
160
123
167
267
192
177
180
198
177
175
203
222
189
188
195
272
253
220
199
184
170
165
168
161
147
140
190
145
181
130
176
183
128
116
138
207
187
141
146
113
134
142
178

Incumbent
Ken Calvert(R)
Maxine Waters(D)
open
Mimi Walters(R)
open
Alan Lowenthal(D)
Dana Rohrabacher(R)
Darrell Issa(R)
Duncan Hunter(R)
Juan Vargas(D)
Scott Peters(D)
Susan Davis(D)
Diana DeGette(D)
Jared Polis(D)
Scott Tipton(R)
Ken Buck(R)
Doug Lamborn(R)
Mike Coffman(R)
Ed Perlmutter(D)
John Larson(D)
Joe Courtney(D)
Rosa DeLauro(D)
Jim Himes(D)
Elizabeth Esty(D)
Hans Reigle(R)
Martin Moulton(L)
open
open
Ted Yoho(R)
open
open
Ron DeSantis(R)
John Mica(R)
Bill Posey(R)
open
open
Daniel Webster(R)
Gus Bilirakis(R)
David Jolly(R)
Kathy Castor(D)
Dennis A. Ross(R)
Vern Buchanan(R)
Tom Rooney(R)
open
open
Alcee L. Hastings(D)
Lois Frankel(D)
Ted Deutch(D)
Debbie Wasserman Schultz(D)
Frederica S. Wilson(D)
Mario Diaz-Balart(R)
Carlos Curbelo(R)
Ileana Ros-Lehtinen(R)
Earl ”Buddy” Carter(R)
Sanford Bishop(D)
Drew Ferguson(R)
open
John Lewis(D)
Tom Price(R)
Rob Woodall(R)
Austin Scott(R)
Doug Collins(R)
Jody Hice(R)
Barry Loudermilk(R)

Table 9 – continued from previous page
Cand1 - Name, Party, and Vote
Cand2 - Name, Party, and Vote
Tim Sheridan(D)
41
Ken Calvert(R)
59
Maxine Waters(D)
75.6
Omar Navarro(R)
24.4
Nanette Diaz Barragan(D)
51.1
Isadore Hall, III(D)
48.9
Ron Varasteh(D)
41
Mimi Walters(R)
59
Lou Correa(D)
69.9
Bao Nguyen(D)
30.1
Alan Lowenthal(D)
62.5
Andy Whallon(R)
37.5
Suzanne Savary(D)
41.5
Dana Rohrabacher(R)
58.5
Doug Applegate(D)
49
Darrell Issa(R)
51
Patrick Malloy(D)
36.1
Duncan Hunter(R)
63.9
Juan Vargas(D)
71.9
Juan M. Hidalgo, Jr.(R)
28.1
Scott Peters(D)
56.4
Denise Gitsham(R)
43.6
Susan Davis(D)
66.1
James Veltmeyer(R)
33.9
Diana DeGette(D)
67.8
Charles ”Casper” Stockham(R)
28.4
Jared Polis(D)
56.8
Nicholas Morse(R)
37.4
Gail Schwartz(D)
40.6
Scott Tipton(R)
54.6
Bob Seay(D)
31.5
Ken Buck(R)
63.8
Misty Plowright(D)
30.8
Doug Lamborn(R)
62.4
Morgan Carroll(D)
42.4
Mike Coffman(R)
51.3
Ed Perlmutter(D)
55.2
George Athanasopoulos(R)
40
John Larson(D)
63.6
Matthew Corey(R)
34.3
Joe Courtney(D)
63
Daria Novak(R)
33.9
Rosa DeLauro(D)
68.7
Angel Cadena(R)
31.3
Jim Himes(D)
60.1
John Shaban(R)
39.9
Elizabeth Esty(D)
57.9
Clay Cope(R)
42.1
Lisa Blunt Rochester(D)
55.5
Hans Reigle(R)
41
Eleanor Holmes Norton(D)
84.8
Martin Moulton(L)
5.9
Steven Specht(D)
30.9
Matt Gaetz(R)
69.1
Walter Dartland(D)
29.9
Neal Patrick Dunn(R)
67.3
Kenneth ”Ken” McGurn(D)
39.7
Ted Yoho(R)
56.6
David E. Bruderly(D)
27.6
John Rutherford(R)
70.2
Alfred Lawson, Jr.(D)
64.2
Glo Smith(R)
35.8
William (Bill) McCullough(D)
41.4
Ron DeSantis(R)
58.6
Stephanie Murphy(D)
51.5
John Mica(R)
48.5
Corry Westbrook(D)
32.5
Bill Posey(R)
63.1
Darren Soto(D)
57.5
Wayne Liebnitzky(R)
42.5
Val Demings(D)
64.9
Thuy Lowe(R)
35.1
Dave Koller(D)
31.6
Daniel Webster(R)
65.4
Robert Matthew Tager(D)
31.4
Gus Bilirakis(R)
68.6
Charlie Crist(D)
51.9
David Jolly(R)
48.1
Kathy Castor(D)
61.8
Christine Quinn(R)
38.2
Jim Lange(D)
42.5
Dennis A. Ross(R)
57.5
Jan Schneider(D)
40.2
Vern Buchanan(R)
59.8
April Freeman(D)
34.2
Tom Rooney(R)
61.8
Randy Perkins(D)
43
Brian Mast(R)
53.6
Robert M. Neeld(D)
34.1
Francis Rooney(R)
65.9
Alcee L. Hastings(D)
80.3
Gary Stein(R)
19.7
Lois Frankel(D)
62.7
Paul Spain(R)
35.2
Ted Deutch(D)
58.9
Andrea Leigh McGee(R)
41.1
Debbie Wasserman Schultz(D)
56.7
Joseph ”Joe” Kaufman(R)
40.5
Frederica S. Wilson(D)
(-)
Alina Valdes(D)
37.6
Mario Diaz-Balart(R)
62.4
Joe Garcia(D)
41.2
Carlos Curbelo(R)
53
Scott Fuhrman(D)
45.1
Ileana Ros-Lehtinen(R)
54.9
(-)
Earl ”Buddy” Carter(R)
Sanford Bishop(D)
61
Greg Duke(R)
39
Angela Pendley(D)
31.6
Drew Ferguson(R)
68.4
Hank Johnson(D)
75.6
Victor Armendariz(R)
24.4
John Lewis(D)
84.6
Douglas Bell(R)
15.4
Rodney Stooksbury(D)
38.4
Tom Price(R)
61.6
Rashid Malik(D)
39.5
Rob Woodall(R)
60.5
James Neal Harris(D)
32.3
Austin Scott(R)
67.7
(-)
Doug Collins(R)
(-)
Jody Hice(R)
Don Wilson(D)
32.5
Barry Loudermilk(R)
67.5

Cand3 - Name, Party, and Vote
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
Rob Lapham(L)
2.7
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
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(-)
(-)
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(-)
Continued on next page

158

State
Georgia
Georgia
Georgia
Hawaii
Hawaii
Idaho
Idaho
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Illinois
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Indiana
Iowa
Iowa
Iowa
Iowa
Kansas
Kansas
Kansas
Kansas
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
Kentucky
Louisiana
Louisiana
Louisiana
Louisiana
Louisiana
Louisiana
Maine
Maine
Maryland
Maryland
Maryland
Maryland
Maryland
Maryland
Maryland
Maryland

CD
12
13
14
1
2
1
2
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
1
2
3
4
5
6
7
8
9
1
2
3
4
1
2
3
4
1
2
3
4
5
6
1
2
3
4
5
6
1
2
1
2
3
4
5
6
7
8

N
135
177
120
123
77
196
130
177
204
128
115
149
157
158
151
197
137
143
107
152
153
96
132
153
125
179
157
143
140
162
147
174
133
162
195
162
157
174
121
161
134
125
134
152
148
162
156
181
137
112
123
92
97
128
164
165
118
169
167
130
159
156
141
160

Incumbent
Rick Allen(R)
David Scott(D)
Tom Graves(R)
open
Tulsi Gabbard(D)
Raul Labrador(R)
Mike Simpson(R)
Bobby Rush(D)
Robin Kelly(D)
Daniel Lipinski(D)
Luis Gutierrez(D)
Mike Quigley(D)
Peter Roskam(R)
Danny K. Davis(D)
open
Janice Schakowsky(D)
Robert Dold(R)
Bill Foster(D)
Mike Bost(R)
Rodney Davis(R)
Randy Hultgren(R)
John Shimkus(R)
Adam Kinzinger(R)
Cheri Bustos(D)
Darin LaHood(R)
Peter Visclosky(D)
Jackie Walorski(R)
open
Todd Rokita(R)
Susan Brooks(R)
Luke Messer(R)
Andre Carson(D)
Larry Bucshon(R)
open
Rod Blum(R)
Dave Loebsack(D)
David Young(R)
Steve King(R)
open
Lynn Jenkins(R)
Kevin Yoder(R)
Mike Pompeo(R)
open
Brett Guthrie(R)
John Yarmuth(D)
Thomas Massie(R)
Hal Rogers(R)
Andy Barr(R)
Steve Scalise(R)
Cedric Richmond(D)
open
open
Ralph Abraham(R)
Garret Graves(R)
Chellie Pingree(D)
Bruce Poliquin(R)
Andy Harris(R)
Dutch Ruppersberger(D)
John Sarbanes(D)
George E. McDermott(R)
Steny Hoyer(D)
John Delaney(D)
Elijah Cummings(D)
open

Table 9 – continued from previous page
Cand1 - Name, Party, and Vote
Cand2 - Name, Party, and Vote
Tricia Carpenter McCracken(D)
38.4
Rick Allen(R)
61.6
David Scott(D)
(-)
(-)
Tom Graves(R)
Colleen Wakako Hanabusa(D)
71.9
Shirlene D. (Shiri) Ostrov(R)
22.7
Tulsi Gabbard(D)
81.1
Angela Aulani Kaaihue(R)
18.9
James Piotrowski(D)
32
Raul Labrador(R)
68
Jennifer Martinez(D)
29.3
Mike Simpson(R)
63
Bobby Rush(D)
73.4
August (O’Neill) Deuser(R)
26.6
Robin Kelly(D)
79.6
John F. Morrow(R)
20.4
Daniel Lipinski(D)
(-)
Luis Gutierrez(D)
(-)
Mike Quigley(D)
67.6
Vince Kolber(R)
27.8
Amanda Howland(D)
40.5
Peter Roskam(R)
59.5
Danny K. Davis(D)
84
Jeffrey A. Leef(R)
16
Raja Krishnamoorthi(D)
58.1
Peter ”Pete” DiCianni(R)
41.9
Janice Schakowsky(D)
65.8
Joan McCarthy Lasonde(R)
34.2
Brad Schneider(D)
52.5
Robert Dold(R)
47.5
Bill Foster(D)
59.9
Tonia Khouri(R)
40.1
Charles ”C.J.” Baricevic(D)
39.7
Mike Bost(R)
54.3
Mark D. Wicklund(D)
40.3
Rodney Davis(R)
59.7
Jim Walz(D)
40.4
Randy Hultgren(R)
59.6
(-)
John Shimkus(R)
Joseph Schreiner(L)
Adam Kinzinger(R)
99.9
Cheri Bustos(D)
60.1
Patrick Harlan(R)
39.9
Junius Rodriguez(D)
27.8
Darin LaHood(R)
72.2
Peter Visclosky(D)
81.5
John Meyer(R)
Lynn C. Coleman(D)
36.9
Jackie Walorski(R)
59.3
Tommy A. Schrader(D)
23
James Banks(R)
70.1
John Dale(D)
30.5
Todd Rokita(R)
64.6
Angela Demaree(D)
34.3
Susan Brooks(R)
61.5
Barry Welsh(D)
26.7
Luke Messer(R)
69.1
Andre Carson(D)
60
Catherine (Cat) Ping(R)
35.7
Ron Drake(D)
31.6
Larry Bucshon(R)
63.7
Shelli Yoder(D)
40.5
Trey Hollingsworth(R)
54.1
Monica Vernon(D)
46.1
Rod Blum(R)
53.9
Dave Loebsack(D)
53.7
Christopher Peters(R)
46.3
Jim Mowrer(D)
39.8
David Young(R)
53.5
Kim Weaver(D)
38.6
Steve King(R)
61.4
Kerry Burt(L)
7.3
Roger Marshall(R)
66.2
Britani Potter(D)
32.5
Lynn Jenkins(R)
61.1
Jay Sidie(D)
40.6
Kevin Yoder(R)
51.3
Daniel B. Giroux(D)
29.4
Mike Pompeo(R)
61
Samuel L. Gaskins(D)
27.4
James R. Comer(R)
72.6
(-)
Brett Guthrie(R)
John Yarmuth(D)
63.5
Harold Bratcher(R)
36.5
Calvin Sidle(D)
28.7
Thomas Massie(R)
71.3
(-)
Hal Rogers(R)
Nancy Jo Kemper(D)
38.9
Andy Barr(R)
61.1
Lee Ann Dugas(D)
12.8
Steve Scalise(R)
74.6
Cedric Richmond(D)
69.8
Kip Holden(D)
20.1
Dorian Phibian(D)
8.9
Greg Ellison(R)
7.8
Marshall Jones(D)
28.2
Trey Baucum(R)
17.6
Ralph Abraham(R)
Bily Burkette(R)
Richard Lieberman(D)
14.9
Garret Graves(R)
62.7
Chellie Pingree(D)
57.9
Mark I. Holbrook(R)
42.1
Emily Ann Cain(D)
45.1
Bruce Poliquin(R)
54.9
Joe Werner(D)
28
Andy Harris(R)
67.8
Dutch Ruppersberger(D)
62.2
Pat McDonough(R)
33.3
John Sarbanes(D)
62.8
Mark Plaster(R)
34.5
Anthony G. Brown(D)
74.1
George E. McDermott(R)
21.6
Steny Hoyer(D)
67.3
Mark Arness(R)
20.1
John Delaney(D)
55.4
Amie Hoeber(R)
40.9
Elijah Cummings(D)
75.1
Corrogan R. Vaughn(R)
21.9
Jamie Raskin(D)
59.3
Dan Cox(R)
35.6

Cand3 - Name, Party, and Vote
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
Rob Sherman(G)
4.6
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
Danil Ezekiel Faust(D)
3.9
Kenneth Cutno(D)
10.1
Larry Rader(D)
8.7
Elbert Guillory(R)
7.3
(-)
Jermaine Sampson(D)
9
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
Continued on next page

159

State
Massachusetts
Massachusetts
Massachusetts
Massachusetts
Massachusetts
Massachusetts
Massachusetts
Massachusetts
Massachusetts
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Michigan
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Minnesota
Mississippi
Mississippi
Mississippi
Mississippi
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Missouri
Montana
Nebraska
Nebraska
Nebraska
Nevada
Nevada
Nevada
Nevada
New Hampshire
New Hampshire
New Jersey
New Jersey
New Jersey
New Jersey
New Jersey
New Jersey
New Jersey
New Jersey
New Jersey
New Jersey
New Jersey

CD
1
2
3
4
5
6
7
8
9
1
2
3
4
5
6
7
8
9
10
11
12
13
14
1
2
3
4
5
6
7
8
1
2
3
4
1
2
3
4
5
6
7
8
1
1
2
3
1
2
3
4
1
2
1
2
3
4
5
6
7
8
9
10
11

N
160
171
153
143
183
163
184
144
141
167
147
155
167
132
142
136
151
174
141
134
168
153
143
118
130
151
140
172
126
118
128
89
115
98
107
174
183
143
151
193
154
170
141
191
136
147
87
152
149
210
184
195
176
161
133
172
133
163
201
155
100
134
131
172

Incumbent
Richard Neal(D)
Jim McGovern(D)
Niki Tsongas(D)
Joseph Kennedy III(D)
Katherine Clark(D)
Seth Moulton(D)
Michael Capuano(D)
Stephen F. Lynch(D)
William Keating(D)
open
Bill Huizenga(R)
Justin Amash(R)
John Moolenaar(R)
Dan Kildee(D)
Fred Upton(R)
Tim Walberg(R)
Mike Bishop(R)
Sander Levin(D)
Paul Mitchell(R)
David A. Trott(R)
Debbie Dingell(D)
John Conyers Jr.(D)
Brenda Lawrence(D)
Tim Walz(D)
open
Erik Paulsen(R)
Betty McCollum(D)
Keith Ellison(D)
Tom Emmer(R)
Collin Peterson(D)
Rick Nolan(D)
Trent Kelly(R)
Bennie Thompson(D)
Gregg Harper(R)
Steven Palazzo(R)
William Lacy Clay(D)
Ann Wagner(R)
Blaine Luetkemeyer(R)
Vicky Hartzler(R)
Emanuel Cleaver II(D)
Sam Graves(R)
Billy Long(R)
Jason Smith(R)
Ryan Zinke(R)
Jeff Fortenberry(R)
Brad Ashford(D)
Adrian Smith(R)
Dina Titus(D)
Mark Amodei(R)
Danny Tarkanian(R)
Cresent Hardy(R)
Frank Guinta(R)
Annie Kuster(D)
Donald Norcross(D)
Frank LoBiondo(R)
Tom MacArthur(R)
Christopher H. Smith(R)
Scott Garrett(R)
Frank Pallone(D)
Leonard Lance(R)
Albio Sires(D)
Bill Pascrell(D)
Donald Payne Jr.(D)
Rodney Frelinghuysen(R)

Table 9 – continued from previous page
Cand1 - Name, Party, and Vote
Cand2 - Name, Party, and Vote
Richard Neal(D)
73.4
Thomas Simmons(L)
8.6
Jim McGovern(D)
(-)
Niki Tsongas(D)
68.7
Ann Wofford(R)
31.3
Joseph Kennedy III(D)
70
David Rosa(R)
30
Katherine Clark(D)
(-)
Seth Moulton(D)
(-)
Michael Capuano(D)
(-)
Stephen F. Lynch(D)
72.4
William Burke(R)
27.6
William Keating(D)
55.7
Mark Alliegro(R)
33.8
Lon Johnson(D)
39.7
Jack Bergman(R)
55.3
Dennis B. Murphy(D)
32.4
Bill Huizenga(R)
62.7
Douglas Smith(D)
37.5
Justin Amash(R)
59.4
Leonard Schwartz(L)
2.7
John Moolenaar(R)
37.4
Dan Kildee(D)
32.1
Allen Hardwick(R)
61.6
Paul Clements(D)
61.2
Fred Upton(R)
35.1
Gretchen D. Driskell(D)
36.4
Tim Walberg(R)
58.6
Suzanna Shkreli(D)
40.1
Mike Bishop(R)
55
Sander Levin(D)
39.2
Christopher R. Morse(R)
56
Frank Accavitti Jr.(D)
32.3
Paul Mitchell(R)
63
Anil Kumar(D)
40.2
David A. Trott(R)
52.9
Debbie Dingell(D)
64.4
Jeff Jones(R)
29.2
John Conyers Jr.(D)
77
Jeff Gorman(R)
15.8
Brenda Lawrence(D)
78.5
Howard Klausner(R)
18.7
Tim Walz(D)
50.4
Jim Hagedorn(R)
49.6
Angie Craig(D)
45.2
Jason Lewis(R)
47
Terri E. Bonoff(D)
43.1
Erik Paulsen(R)
56.9
Betty McCollum(D)
57.8
Greg Ryan(R)
34.5
Keith Ellison(D)
69.2
Frank Neslon Drake(R)
22.3
David Snyder(D)
34.3
Tom Emmer(R)
65.7
Collin Peterson(D)
52.5
Dave Hughes(R)
47.5
Rick Nolan(D)
50.3
Stewart Mills(R)
49.7
Jacob Owens(D)
27.8
Trent Kelly(R)
68.8
Bennie Thompson(D)
66.8
John Bouie II(R)
29.4
Dennis Quinn(D)
30.3
Gregg Harper(R)
66.3
Mark Gladney(D)
27.7
Steven Palazzo(R)
65.2
William Lacy Clay(D)
75.5
Steven G. Bailey(R)
20
Bill Otto(D)
37.6
Ann Wagner(R)
58.6
Kevin Miller(D)
27.9
Blaine Luetkemeyer(R)
67.8
Gordon Christensen(D)
27.8
Vicky Hartzler(R)
67.8
Emanuel Cleaver II(D)
58.4
Jacob Turk(R)
38.5
David M. Blackwell(D)
28.3
Sam Graves(R)
68.1
Genevieve (Gen) Williams(D)
27.4
Billy Long(R)
67.6
Dave Cowell(D)
22.7
Jason Smith(R)
74.4
Denise Juneau(D)
40.5
Ryan Zinke(R)
56.3
Daniel M. Wik(D)
30.4
Jeff Fortenberry(R)
69.6
Brad Ashford(D)
47.3
Don Bacon(R)
49.4
(-)
Adrian Smith(R)
Dina Titus(D)
61.8
Mary Perry(R)
28.8
H.D. ”Chip” Evans(D)
36.9
Mark Amodei(R)
58.3
Jacky Rosen(D)
47.2
Danny Tarkanian(R)
46
Ruben Kihuen(D)
48.5
Cresent Hardy(R)
44.5
Carol Shea-Porter(D)
44.2
Frank Guinta(R)
42.9
Annie Kuster(D)
49.8
Jim Lawrence(R)
45.4
Donald Norcross(D)
59.8
Bob Patterson(R)
36.9
David H. Cole(D)
37.1
Frank LoBiondo(R)
59.4
Fredrick John Lavergne(D)
38.6
Tom MacArthur(R)
59.5
Lorna Phillipson(D)
33.5
Christopher H. Smith(R)
63.7
Joshua S. Gottheimer(D)
50.5
Scott Garrett(R)
47.2
Frank Pallone(D)
63
Brent Sonnek-Schmelz(R)
35.7
Peter Jacob(D)
43
Leonard Lance(R)
54.2
Albio Sires(D)
76.9
Agha Khan(R)
18.6
Bill Pascrell(D)
69.6
Hector L. Castillo(R)
28.1
Donald Payne Jr.(D)
85.6
David H. Pinckney(R)
12
Joseph M. Wenzel(D)
38.7
Rodney Frelinghuysen(R)
58.2

Cand3 - Name, Party, and Vote
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
Continued on next page

160

State
New Jersey
New Mexico
New Mexico
New Mexico
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
New York
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Dakota
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Oklahoma
Oklahoma
Oklahoma

CD
12
1
2
3
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
1
2
3
4
5
6
7
8
9
10
11
12
13
1
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3

N
176
172
106
105
128
138
120
145
124
121
135
157
158
281
168
293
182
100
109
132
122
148
145
170
149
158
169
196
181
225
166
145
183
145
189
171
158
147
123
119
156
136
155
177
126
171
164
201
159
185
158
125
125
209
164
197
184
206
141
137
172
141
106
95

Incumbent
Bonnie Watson Coleman(D)
Michelle Lujan Grisham(D)
Steve Pearce(R)
Ben Ray Lujan(D)
Lee Zeldin(R)
Peter King(R)
open
Kathleen M. Rice(D)
Gregory Meeks(D)
Grace Meng(D)
Nydia Velazquez(D)
Hakeem Jeffries(D)
Yvette Clarke(D)
Jerrold Nadler(D)
Daniel Donovan(R)
Carolyn Maloney(D)
open
Joseph Crowley(D)
Jose Serrano(D)
Eliot Engel(D)
Nita Lowey(D)
Sean Patrick Maloney(D)
open
Paul Tonko(D)
Elise Stefanik(R)
open
Tom Reed(R)
John Katko(R)
Louise Slaughter(D)
Brian Higgins(D)
Chris Collins(R)
G.K. Butterfield(D)
George Holding(R)
Walter B. Jones(R)
David Price(D)
Virginia Foxx(R)
Mark Walker(R)
David Rouzer(R)
Richard Hudson(R)
Robert Pittenger(R)
Patrick McHenry(R)
Mark Meadows(R)
Alma Adams(D)
Ted Budd(R)
Kevin Cramer(R)
Steve Chabot(R)
Brad Wenstrup(R)
Joyce Beatty(D)
Jim Jordan(R)
Bob Latta(R)
Bill Johnson(R)
Bob Gibbs(R)
Warren Davidson(R)
Marcy Kaptur(D)
Michael Turner(R)
Marcia Fudge(D)
Patrick Tiberi(R)
Tim Ryan(D)
David Joyce(R)
Steve Stivers(R)
Jim Renacci(R)
Jim Bridenstine(R)
Markwayne Mullin(R)
Frank Lucas(R)

Table 9 – continued from previous page
Cand1 - Name, Party, and Vote
Cand2 - Name, Party, and Vote
Bonnie Watson Coleman(D)
62.6
Steven J. Uccio(R)
32.3
Michelle Lujan Grisham(D)
65.1
Richard Gregory Priem(R)
34.9
Merrie Lee Soules(D)
37.2
Steve Pearce(R)
62.8
Ben Ray Lujan(D)
62.5
Michael H. Romero(R)
37.5
Anna E. Throne-Holst(D)
41
Lee Zeldin(R)
59
DuWayne Gregory(D)
37.6
Peter King(R)
62.4
Thomas R. Suozzi(D)
52.4
Jack M. Martins(R)
47.6
Kathleen M. Rice(D)
59.4
David H. Gurfein(R)
40.6
Gregory Meeks(D)
85.5
Michael A. O’Reilly(R)
13
Grace Meng(D)
71.9
Danniel S. Maio(R)
27
Nydia Velazquez(D)
90.7
Allan E. Romaguera(R)
9.3
Hakeem Jeffries(D)
93.2
Daniel J. Cavanagh(C)
6.8
Yvette Clarke(D)
92.3
Alan Bellone(C)
7.7
Jerrold Nadler(D)
77.5
Philip Rosenthal(R)
22.5
Richard A. Reichard(D)
36.1
Daniel Donovan(R)
62.2
Carolyn Maloney(D)
83
Robert Ardini(R)
17
Adriano Espaillat(D)
88.8
Tony Evans(R)
6.9
Joseph Crowley(D)
82.6
Frank J. Spotorno(R)
17.4
Jose Serrano(D)
95.2
Alejandro Vega(R)
3.6
Eliot Engel(D)
(-)
Nita Lowey(D)
(-)
Sean Patrick Maloney(D)
55.2
Phil Oliva(R)
44.8
Zephyr Teachout(D)
45.3
John J. Faso(R)
54.7
Paul Tonko(D)
67.6
Francis J. Vitollo(R)
32.4
Mike Derrick(D)
29.3
Elise Stefanik(R)
66.1
Kim A. Myers(D)
40.4
Claudia Tenney(R)
47
John F. Plumb(D)
41.9
Tom Reed(R)
58.1
Colleen Deacon(D)
39
John Katko(R)
61
Louise Slaughter(D)
55.8
Mark W. Assini(R)
44.2
Brian Higgins(D)
74.4
Shelly Schratz(R)
25.6
Diana K. Kastenbaum(D)
32.3
Chris Collins(R)
67.7
G.K. Butterfield(D)
68.6
H. Powell Dew, Jr.(R)
29
John P. McNeil(D)
43.3
George Holding(R)
56.7
Ernest T. Reeves(D)
32.6
Walter B. Jones(R)
67.4
David Price(D)
68.2
Sue Googe(R)
31.8
Josh Brannon(D)
41.5
Virginia Foxx(R)
58.5
Pete Glidewell(D)
40.7
Mark Walker(R)
59.3
J. Wesley Casteen(D)
39
David Rouzer(R)
61
Thomas Mills(D)
41.2
Richard Hudson(R)
58.8
Christian Cano(D)
41.7
Robert Pittenger(R)
58.3
Andy Millard(D)
36.8
Patrick McHenry(R)
63.2
Rick Bryson(D)
35.8
Mark Meadows(R)
64.2
Alma Adams(D)
67
Leon Threatt(R)
33
Bruce Davis(D)
43.9
Ted Budd(R)
56.1
Chase Iron Eyes(D)
23.8
Kevin Cramer(R)
69.2
Michele Young(D)
40.4
Steve Chabot(R)
59.6
William R. Smith(D)
33.4
Brad Wenstrup(R)
66.6
Joyce Beatty(D)
68.3
John Adams(R)
31.7
Janet Garrett(D)
31.9
Jim Jordan(R)
68.1
James Neu Jr.(D)
29
Bob Latta(R)
71
Michael L Lorentz(D)
29.4
Bill Johnson(R)
70.6
Roy Rich(D)
28.9
Bob Gibbs(R)
64.1
Steve Fought(D)
26.8
Warren Davidson(R)
69
Marcy Kaptur(D)
68.5
Donald P. Larson(R)
31.5
Robert Klepinger(D)
32.4
Michael Turner(R)
64.4
Marcia Fudge(D)
80.1
Beverly A. Goldstein(R)
19.9
Ed Albertson(D)
29.9
Patrick Tiberi(R)
66.6
Tim Ryan(D)
67.6
Richard A. Morckel(R)
32.4
Michael Wager(D)
37.3
David Joyce(R)
62.7
Scott Wharton(D)
33.8
Steve Stivers(R)
66.2
Keith Mundy(D)
34.6
Jim Renacci(R)
65.4
(-)
Jim Bridenstine(R)
Joshua Harris-Till(D)
23.2
Markwayne Mullin(R)
70.6
Frankie Robbins(D)
21.7
Frank Lucas(R)
78.3

Cand3 - Name, Party, and Vote
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
Henry J. Bardel(G)
1.7
(-)
Daniel Vila Rivera(G)
1.4
(-)
Eduardo Ramirez(C)
1.2
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
Continued on next page

161

State
Oklahoma
Oklahoma
Oregon
Oregon
Oregon
Oregon
Oregon
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Rhode Island
Rhode Island
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
South Dakota
Tennessee
Tennessee
Tennessee
Tennessee
Tennessee
Tennessee
Tennessee
Tennessee
Tennessee
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas

CD
4
5
1
2
3
4
5
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
1
2
1
2
3
4
5
6
7
1
1
2
3
4
5
6
7
8
9
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20

N
137
145
181
173
245
226
197
162
191
189
175
354
187
143
174
170
244
196
183
190
221
180
171
219
175
104
108
129
124
113
117
128
128
118
167
137
162
135
129
156
140
128
106
122
101
136
124
130
118
128
170
137
131
156
87
134
79
124
84
134
118
118
113
160

Incumbent
Tom Cole(R)
Steve Russell(R)
Suzanne Bonamici(D)
Greg Walden(R)
Earl Blumenauer(D)
Peter DeFazio(D)
Kurt Schrader(D)
Robert Brady(D)
open
Mike Kelly(R)
Scott Perry(R)
Glenn Thompson(R)
Ryan Costello(R)
Patrick Meehan(R)
open
Bill Shuster(R)
Tom Marino(R)
Lou Barletta(R)
Keith Rothfus(R)
Brendan F. Boyle(D)
Michael F. Doyle(D)
Charlie Dent(R)
open
Matt Cartwright(D)
Tim Murphy(R)
David Cicilline(D)
Jim Langevin(D)
Mark Sanford(R)
Joe Wilson(R)
Jeff Duncan(R)
Trey Gowdy(R)
Mick Mulvaney(R)
James Clyburn(D)
Tom Rice(R)
Kristi Noem(R)
Phil Roe(R)
John J. Duncan Jr.(R)
Chuck Fleischmann(R)
Scott DesJarlais(R)
Jim Cooper(D)
Diane Black(R)
Marsha Blackburn(R)
David Kustoff(R)
Steve Cohen(D)
Louie Gohmert(R)
Ted Poe(R)
Sam Johnson(R)
John Ratcliffe(R)
Jeb Hensarling(R)
Joe Barton(R)
John Culberson(R)
Kevin Brady(R)
Al Green(D)
Michael McCaul(R)
Mike Conaway(R)
Kay Granger(R)
Mac Thornberry(R)
Randy Weber(R)
open
Beto O’Rourke(D)
Bill Flores(R)
Sheila Jackson Lee(D)
open
Joaquin Castro(D)

Table 9 – continued from previous page
Cand1 - Name, Party, and Vote
Cand2 - Name, Party, and Vote
Christina Owen(D)
26.1
Tom Cole(R)
69.6
Al McAffrey(D)
36.8
Steve Russell(R)
57.1
Suzanne Bonamici(D)
59.6
Brian J Heinrich(R)
37.3
James (Jim) Crary(D)
27.9
Greg Walden(R)
72.1
Earl Blumenauer(D)
72.6
David W.Walker(I)
20.3
Peter DeFazio(D)
55.5
Art Robinson(R)
39.8
Kurt Schrader(D)
53.6
Colm Willis(R)
43.2
Robert Brady(D)
82.2
Deborah Williams(R)
17.8
Dwight Evans(D)
90.2
James A Jones(R)
9.8
(-)
Mike Kelly(R)
Joshua Burkholder(D)
33.9
Scott Perry(R)
70.6
Kerith Strano Taylor(D)
32.7
Glenn Thompson(R)
78.3
Mike Parrish(D)
42.7
Ryan Costello(R)
69.6
Mary Ellen Balchunis(D)
40.3
Patrick Meehan(R)
57.1
Steve Santarsiero(D)
45.5
Brian Fitzpatrick(R)
37.3
Art Halvorson(D)
36.6
Bill Shuster(R)
72.1
Michael Molesevich(D)
29.7
Tom Marino(R)
39.8
Mike Marsicano(D)
36.3
Lou Barletta(R)
43.2
Erin R. McClelland(D)
38.1
Keith Rothfus(R)
17.8
Brendan F. Boyle(D)
Armond James(R)
Michael F. Doyle(D)
74.3
Lenny McAllister(R)
9.8
Rick Daugherty(D)
38
Charlie Dent(R)
58.4
Christina Hartman(D)
42.7
Lloyd K Smucker(R)
53.9
Matt Cartwright(D)
53.8
Matt Connolly(R)
46.2
(-)
Tim Murphy(R)
David Cicilline(D)
64.7
Russell Taub(R)
35.3
Jim Langevin(D)
58.2
Rhue Reis(R)
30.8
Dimitri Cherny(D)
36.9
Mark Sanford(R)
58.6
Arik Bjorn(D)
35.9
Joe Wilson(R)
60.3
Hosea Cleveland(D)
27.1
Jeff Duncan(R)
72.9
Chris Fedalei(D)
31.1
Trey Gowdy(R)
67.2
Fran Person(D)
38.8
Mick Mulvaney(R)
59.1
James Clyburn(D)
70.2
Laura Sterling(R)
27.6
Mal Hyman(D)
39.3
Tom Rice(R)
60.7
Paula Hawks(D)
35.9
Kristi Noem(R)
64.1
Alan Bohms(D)
15.4
Phil Roe(R)
78.4
Stuart Starr(D)
24.4
John J. Duncan Jr.(R)
75.6
Melody Shekari(D)
28.8
Chuck Fleischmann(R)
66.4
Steven Reynolds(D)
35
Scott DesJarlais(R)
65
Jim Cooper(D)
62.5
Stacy Ries Snyder(R)
37.5
David W. Kent(D)
21.8
Diane Black(R)
71.1
Tharon Chandler(D)
23.5
Marsha Blackburn(R)
72.2
Rickey Hobson(D)
25.1
David Kustoff(R)
68.8
Steve Cohen(D)
78.8
Wayne Alberson(R)
18.8
Shirley McKellar(D)
24.1
Louie Gohmert(R)
73.9
Pat Bryan(D)
36
Ted Poe(R)
61.3
Adam P. Bell(D)
34.5
Sam Johnson(R)
80.6
Cody Wommack(L)
12
John Ratcliffe(R)
88
Ken Ashby(L)
19.4
Jeb Hensarling(R)
80.6
Ruby Fay Woolridge(D)
39
Joe Barton(R)
58.3
James Cargas(D)
43.8
John Culberson(R)
56.2
(-)
Kevin Brady(R)
Al Green(D)
80.6
Jeff Martin(R)
19.4
Tawana W. Cadien(D)
38.4
Michael McCaul(R)
57.4
Nicholas Landholt(L)
10.5
Mike Conaway(R)
60.6
Bill Bradshaw(D)
26.8
Kay Granger(R)
69.4
Calvin DeWeese(L)
6.7
Mac Thornberry(R)
88
Michael Cole(D)
38.1
Randy Weber(R)
61.9
Vincente Gonzalez(D)
57.3
Tim Westley(R)
37.7
Beto O’Rourke(D)
85.8
Jamie Perez(L)
2.4
William Matta(D)
35.2
Bill Flores(R)
60.8
Sheila Jackson Lee(D)
73.5
Lori Bartley(R)
23.6
Troy Bonar(L)
8.5
Jodey Arrington(R)
86.7
Joaquin Castro(D)
79.7
Jeffrey Blunt(L)
15.5

Cand3 - Name, Party, and Vote
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
Rusty Tomlinson(G)
3.4
(-)
(-)
Mary Gourdoux(G)
4.3
(-)
(-)
Mark Lawson(G)
4.8
(-)
Continued on next page

162

State
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Utah
Utah
Utah
Utah
Vermont
Virginia
Virginia
Virginia
Virginia
Virginia
Virginia
Virginia
Virginia
Virginia
Virginia
Virginia
Washington
Washington
Washington
Washington
Washington
Washington
Washington
Washington
Washington
Washington
West Virginia
West Virginia
West Virginia
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wisconsin
Wyoming

CD
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
1
2
3
4
1
1
2
3
4
5
6
7
8
9
10
11
1
2
3
4
5
6
7
8
9
10
1
2
3
1
2
3
4
5
6
7
8
1

N
175
126
88
153
131
156
115
82
82
108
198
166
71
92
143
94
125
153
121
132
132
184
148
189
178
143
196
205
192
155
255
163
128
114
172
85
172
173
187
98
156
159
135
146
148
162
203
158
163
161
186
147
174
99

Incumbent
Lamar Smith(R)
Pete Olson(R)
Will Hurd(R)
Kenny Marchant(R)
Roger Williams(R)
Michael Burgess(R)
Blake Farenthold(R)
Henry Cuellar(D)
Gene Green(D)
Eddie Bernice Johnson(D)
John Carter(R)
Pete Sessions(R)
Marc Veasey(D)
Filemon Vela(D)
Lloyd Doggett(D)
Brian Babin(R)
Rob Bishop(R)
Chris Stewart(R)
Jason Chaffetz(R)
Mia Love(R)
Peter Welch(D)
Robert Wittman(R)
open
Robert Scott(D)
open
open
Bob Goodlatte(R)
David Brat(R)
Don Beyer(D)
Morgan Griffith(R)
Barbara Comstock(R)
Gerald Connolly(D)
Suzan DelBene(D)
Rick Larson(D)
Jaime Herrera Beutler(R)
Dan Newhouse(R)
Cathy McMorris Rodgers(R)
Derek Kilmer(D)
open
Dave Reichert(R)
Adam Smith(D)
Denny Heck(D)
David McKinley(R)
Alex Mooney(R)
Evan Jenkins(R)
Paul Ryan(R)
Mark Pocan(D)
Ron Kind(D)
Gwen Moore(D)
Jim Sensenbrenner(R)
Glenn Grothman(R)
Sean Duffy(R)
open
open

Table 9 – continued from previous page
Cand1 - Name, Party, and Vote
Cand2 - Name, Party, and Vote
Thomas Wakely(D)
36.4
Lamar Smith(R)
57
Mark Gibson(D)
40.5
Pete Olson(R)
59.5
Pete P. Gallego(D)
46.8
Will Hurd(R)
48.5
Jan McDowell(D)
39.3
Kenny Marchant(R)
56.2
Kathi Thomas(D)
37.7
Roger Williams(R)
58.4
Eric Mauck(D)
29.6
Michael Burgess(R)
66.3
Raul (Roy) Barrera(D)
38.3
Blake Farenthold(R)
61.7
Henry Cuellar(D)
66.2
Zeffen Hardin(R)
31.3
Gene Green(D)
72.5
Julio Garza(R)
24
Eddie Bernice Johnson(D)
77.9
Charles Lingerfelt(R)
19
Mike Clark(D)
36.5
John Carter(R)
58.4
Ed Rankin(L)
19
Pete Sessions(R)
71.1
Marc Veasey(D)
73.7
M. Mark Mitchell(R)
26.3
Filemon Vela(D)
62.7
Rey Gonzalez, Jr.(R)
37.3
Lloyd Doggett(D)
63.1
Susan Narvaiz(R)
31.6
Hal Ridley Jr.(G)
11.3
Brian Babin(R)
88.7
Peter C. Clemens(D)
27.2
Rob Bishop(R)
65.4
Charlene Albarran(D)
34.1
Chris Stewart(R)
61.5
Stephen P. Tryon(D)
26.7
Jason Chaffetz(R)
73.3
Doug Owens(D)
41.7
Mia Love(R)
53.5
Peter Welch(D)
90
Erica Clawson(LU)
10
Matt Rowe(D)
35.8
Robert Wittman(R)
60.9
Shaun D. Brown(D)
38.3
Scott W. Taylor(R)
61.7
Robert Scott(D)
66.9
Marty Williams(R)
33.1
A. Donald McEachin(D)
57.3
Michael L. ”Mike” Wade(R)
42.7
Jane Dittmar(D)
41.7
Tom Garrett(R)
58.3
Kai Degner(D)
33.3
Bob Goodlatte(R)
66.7
Eileen Bedell(D)
42.1
David Brat(R)
57.9
Don Beyer(D)
68.6
Charles Hernick(R)
27.4
Derek Kitts(D)
28.4
Morgan Griffith(R)
68.7
LuAnn Bennett(D)
47.1
Barbara Comstock(R)
52.9
Gerald Connolly(D)
(-)
Suzan DelBene(D)
55.5
Robert J. Sutherland(R)
44.5
Rick Larson(D)
64
Marc Hennemann(R)
36
Jim Moeller(D)
38.6
Jaime Herrera Beutler(R)
61.4
Clint Didier(R)
42.6
Dan Newhouse(R)
57.4
Joe Pakootas(D)
40.5
Cathy McMorris Rodgers(R)
59.5
Derek Kilmer(D)
61.7
Todd A. Bloom(R)
38.3
Pramila Jayapal(D)
56.1
Brady Pinero Walkinshaw(D)
43.9
Tony Ventrella(D)
43.9
Dave Reichert(R)
60
Adam Smith(D)
40
Doug Basler(R)
27
Denny Heck(D)
73
Jim Postma(R)
41.3
Mike Manypenny(D)
58.7
David McKinley(R)
69
Mark Hunt(D)
31
Alex Mooney(R)
58.2
Matt Detch(D)
41.8
Evan Jenkins(R)
67.9
Ryan Solen(D)
24
Paul Ryan(R)
65
Mark Pocan(D)
30.2
Peter Theron(R)
31.3
Ron Kind(D)
68.7
(-)
Gwen Moore(D)
77
Andy Craig(L)
11.3
Khary Penebaker(D)
29.3
Jim Sensenbrenner(R)
66.8
Sarah Lloyd(D)
37.3
Glenn Grothman(R)
57.2
Mary Hoeft(D)
38.2
Sean Duffy(R)
61.8
Tom Nelson(D)
37.3
Mike Gallagher(R)
62.7
Ryan Greene(D)
30.1
Liz Cheney(R)
62.2

Cand3 - Name, Party, and Vote
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
Gary Stuard(G)
9.9
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)
Jason Lebeck(L)
2.1
(-)
(-)
(-)
(-)
(-)
(-)
(-)
(-)

Part V
Cross-reference
Variable Listing, in order of appearance in dataset. Open response items included.
Table 10: List of Variables
Variable

Label Name

V101

Case ID

commonweight

Common content weights

commonweight post

Common content weights (post survey)

lookupzip

Pre Election Survey Respondent Zip Code

inputstate

Pre Election State Name

cdid113

CD 113th/114th Congress- post

cdid115

CD 115th Congress - post

countyfips

County FIPS code

countyname

County Name

inputstate post

Post Election State Name

cdid113 post

CD 113th/114th Congress

cdid115 post

CD 115th Congress

countyfips post

County FIPS code- post

countyname post

County Name- post

birthyr

Birth Year

gender

Gender

sexuality

Sexual Orientation

trans

Transgender

educ

Education

edloan

Student debtor

votereg

Voter Registration Status

regzip

Zip code where registered

votereg f

Registered to vote

race

Race

163

Table 10 – continued from previous page
Variable
race other

Label
Race, other

multrace 1

Multi-racial - White

multrace 2

Multi-racial - Black

multrace 3

Multi-racial - Hispanic

multrace 4

Multi-racial - Asian

multrace 5

Multi-racial - Native American

multrace 8

Multi-racial - Middle Eastern

multrace 97

Multi-racial - Other

multrace 98

Multi-racial - Don’t know

multrace 99

Multi-racial - None of these

hispanic

Spanish, Latino or Hispanic origin or descent

Hispanic origin 1

Hispanic origin - No country in Particular

Hispanic origin 2

Hispanic origin - United States

Hispanic origin 3

Hispanic origin - Mexico

Hispanic origin 4

Hispanic origin - Puerto Rico

Hispanic origin 5

Hispanic origin - Cuba

Hispanic origin 6

Hispanic origin - Dominican Republic

Hispanic origin 7

Hispanic origin - South America

Hispanic origin 8

Hispanic origin - Central America

Hispanic origin 9

Hispanic origin - Caribbean

Hispanic origin 10

Hispanic origin - Spain

Hispanic origin 11

Hispanic origin - Other

Hispanic origin 12

Hispanic origin - I am not of Latino, Hispanic or Spanish
Heritage

Hispanic origin t

Hispanic origin - None

Asian origin 1

Asian origin - No Country in Particular

Asian origin 2

Asian origin - United States

Asian origin 3

Asian origin - China

Asian origin 4

Asian origin - Japan

Asian origin 5

Asian origin - India

164

Table 10 – continued from previous page
Variable
Asian origin 6

Label
Asian origin - Philippines

Asian origin 7

Asian origin - Taiwan

Asian origin 8

Asian origin - Korea

Asian origin 9

Asian origin - Vietnam

Asian origin 10

Asian origin - Pakistan

Asian origin 11

Asian origin - Hmong

Asian origin 12

Asian origin - Cambodia

Asian origin 13

Asian origin - Thailand

Asian origin 14

Asian origin - Other

Asian origin 15

Asian origin - I am not of Asian Heritage

Asian origin t

Asian origin - None

employ

Employment Status

employ t

Employment Status - open

hadjob

Had a Job

whatkindofwork

$whatkindofworktext

jobactivities

$jobactivitiestext

industryclass

Industry classification

phone

Phone Service

internethome

Internet Access at Home

internetwork

Internet Access at Work

marstat

Marital Status

pid7

7 point party ID

pid3

3 point Party ID

pid3 t

3 point party ID - other

ideo5

Ideology

pew bornagain

Born Again (Pew version)

pew religimp

Importance of Religion (Pew Version)

pew churatd

Church attendance (Pew Version)

pew prayer

Frequency of Prayer (Pew Version)

religpew

Pew religion

165

Table 10 – continued from previous page
Variable
religpew t

Label
Pew religion - open

religpew protestant

Protestant Church

religpew protestant t

Protestant Church - open

religpew baptist

Baptist Church - open

religpew baptist t

Baptist Church - open

religpew methodist

Methodist Church

religpew methodist t

Methodist Church - open

religpew nondenom

Nondenominational or Independent Church

religpew nondenom t

Nondenominational or Independent Church - open

religpew lutheran

Lutheran Church

religpew lutheran t

Lutheran Church - open

religpew presby

Presyterian Church

religpew presby t

Presyterian Church - open

religpew pentecost

Pentecostal Church

religpew pentecost t

Pentecostal Church - open

religpew episcop

Episcopal Church

religpew episcop t

Episcopal Church - open

relgipew christian

Christian Church

relgipew christian t

Christian Church - open

religpew congreg

Congregational Church

religpew congreg t

Congregational Church - open

religpew holiness

Holiness Church

religpew holiness t

Holiness Church - open

religpew reformed

Reformed Church

religpew reformed t

Reformed Church - open

relgipew advent

Adventist Church

relgipew advent t

Adventist Church - open

religpew catholic

Catholic Church

religpew catholic t

Catholic Church - open

religpew mormon

Mormon Church

166

Table 10 – continued from previous page
Variable
religpew mormon t

Label
Mormon Church - open

religpew orthodox

Orthodox Church

religpew orthodox t

Orthodox Church - open

religpew jewish

Jewish Group

religpew jewish t

Jewish Group - open

religpew muslim

Muslim Group

religpew muslim t

Muslim Group - open

religpew buddhist

Budhist Group

religpew buddhist t

Budhist Group - open

religpew hindu

Hindu Group

religpew hindu t

Hindu Group - open

child18

Child under 18 years

child18num

Number of children under 18

newsint

Political Interest

faminc

Family Income

ownhome

Home ownership

ownhome t

Home ownership - open

citylength 1

Current city residence length - Years

citylength 2

Current city residence length - Months

milstat 1

Military Household - I am

milstat 2

Military Household - Family

milstat 3

Military Household - I served previously

milstat 4

Military Household - Family served previously

milstat 5

Military Household - None

immstat

Citizen

union

Labor union member

unionhh

Family labor union member

investor

Stock Ownership

heathins2

Purchase health insurance thru exchange

healthins 1

Health Insurance - Yes, through my job or a family

167

Table 10 – continued from previous page
Variable
healthins 2

Label
Health Insurance - Yes, through a government

healthins 3

Health Insurance - Yes, through my school

healthins 4

Health Insurance - Yes, I purchase my own

healthins 5

Health Insurance - Not Sure

healthins 6

Health Insurance - No

CC16 300 1

Media Use - Blog

CC16 300 2

Media Use - TV

CC16 300 3

Media Use - Newspaper

CC16 300 4

Media Use - Radio

CC16 300 5

Media Use - Social Media

CC16 300 6

Media Use - None

CC16 300b

Watch local news, national news or both

CC16 300c

Read print news, online news or both

CC16 300d 1

Social Media - Posted a story, photo, video or link about
politics

CC16 300d 2

Social Media - Posted a comment about politics

CC16 300d 3

Social Media - Read a story or watched a video about politics

CC16 300d 4

Social Media - Followed a political event

CC16 300d 5

Social Media - Forwarded a story, photo, video or link about
politics to friends

CC16 301a

Most Important Problem - Gun control

CC16 301b

Most Important Problem - Abortion

CC16 301c

Most Important Problem - Taxes

CC16 301d

Most Important Problem - Immigration

CC16 301e

Most Important Problem - Budget deficit

CC16 301f

Most Important Problem - Defense spending

CC16 301g

Most Important Problem - Social security

CC16 301h

Most Important Problem - Environment

CC16 301i

Most Important Problem - Jobs

CC16 301j

Most Important Problem - Crime

168

Table 10 – continued from previous page
Variable
CC16 301k

Label
Most Important Problem - National security

CC16 301l

Most Important Problem - Race relations

CC16 301m

Most Important Problem - Health care

CC16 301n

Most Important Problem - Gay marriage

CC16 301o

Most Important Problem - Government Corruption

CC16 302

National Economy

CC16 303

Past year - household income

CC16 304

Next year - household income

CC16 305 1

Past four years - Married

CC16 305 2

Past four years - Lost a job

CC16 305 3

Past four years - Finished school

CC16 305 4

Past four years - Retired

CC16 305 5

Past four years - Divorced

CC16 305 6

Past four years - Had a child

CC16 305 7

Past four years - Taken a new job

CC16 305 8

Past four years - Been issued a traffic ticket

CC16 305 9

Past four years - Been a victim of a crime

CC16 305 10

Past four years - Visited an emergency room

CC16 305 11

Past four years - Received a raise at work

CC16 307

Police make R feel safe

CC16 312 1

Do not get involved

CC16 312 2

Send food, medicine and other aid to countries affected

CC16 312 3

Provide arms to those opposing ISIS

CC16 312 4

Enforce a no-fly zone

CC16 312 5

Use drones and aircraft to bomb ISIS troops

CC16 312 6

Send military support staff (non-combat)

CC16 312 7

Send significant force to fight ISIS

CC16 320a

Approve of Job - Obama

CC16 320b

Approve of Job - Congress

CC16 320c

Approve of Job - Supreme Court

169

Table 10 – continued from previous page
Variable
CC16 320d

Label
Approve of Job - Governor

CC16 320e

Approve of Job - Legislature

CC16 321a

Party of Government Knowledge - Reps

CC16 321b

Party of Government Knowledge - Senate

CC16 321c

Party of Government Knowledge - State Senate

CC16 321d

Party of Government Knowledge - Lower Chamber

CC16 322a

Party Recall + Name Recognition - Governor

CC16 322b

Party Recall + Name Recognition - Senator 1

CC16 322c

Party Recall + Name Recognition - Senator 2

CC16 322d

Party Recall + Name Recognition - Rep

CC16 320f

Approve of Job - Rep

CC16 320g

Approve of Job - Senator 1

CC16 320h

Approve of Job - Senator 2

CC16 316

Vote 2012

CC16 326

President 2012

CC16 326 t

President 2012 - open

CC16 327

Vote primary 2016

CC16 328

Vote primary 2016 candidate

CC16 330a

Gun Control - Background checks for all sales, including at
gun shows and over the Internet

CC16 330b

Gun Control - Prohibit state and local governments from publishing the names and addresses of all gun owners

CC16 330d

Gun Control - Ban assault rifles

CC16 330e

Gun Control - Make it easier for people to obtain concealedcarry permit

CC16 331 1

Immigration - Grant legal status to all illegal immigrants who
have held jobs and paid taxes for at least 3 years, and not been
convicted of any felony crimes

CC16 331 2

Immigration - Increase the number of border patrols on the
U.S.-Mexican border

170

Table 10 – continued from previous page
Variable
CC16 331 3

Label
Immigration - Grant legal status to people who were brought
to the US illegally as children, but who have graduate from a
U.S. high school

CC16 331 4

Immigration - Fine U.S. businesses that hire illegal
immigrants

CC16 331 5

Immigration - Admit no refugees from Syria

CC16 331 6

Immigration - Increase the number of visas for overseas workers to work in the U.S.

CC16 331 7

Immigration - Identify and deport illegal immigrants

CC16 331 8

Immigration - Ban Muslims from immigrating to the U.S.

CC16 331 9

Immigration - None of these

CC16 332a

Abortion Policies - Always allow a woman to obtain an abortion as a matter of choice

CC16 332b

Abortion Policies - Permit abortion only in case of rape, incest
or when the woman’s life is in danger

CC16 332c

Abortion Policies - Prohibit all abortions after the 20th week
of pregnancy

CC16 332d

Abortion Policies - Allow employers to decline coverage of
abortions in insurance plans

CC16 332e

Abortion Policies - Prohibit the expenditure of funds authorized or appropriated by federal law for any abortion

CC16 332f

Abortion Policies - Make abortions illegal in all circumstances

CC16 333a

Environment Policies - Give Environmental Protection
Agency power to regulate Carbon Dioxide emissions

CC16 333b

Environment Policies - Raise required fuel efficiency for the
average automobile from 25 mpg to 35 mpg

CC16 333c

Environment Policies - Require a minimum amount of renewable fuels (wind, solar, and hydroelectric) in the generation of
electricity even if electricity prices increase somewhat

CC16 333d

Environment Policies - Strengthen enforcement of the Clean
Air Act and Clean Water even if it costs US jobs

CC16 334a

Crime Policies - Eliminate mandatory minimum sentences for
non-violent drug offenders

CC16 334b

Crime Policies - Require police officers to wear body cameras
that record all of their activities while on duty
171

Table 10 – continued from previous page
Variable
CC16 334c

Label
Crime Policies - Increase the number of police on the street
by 10 percent, even if it means fewer funds for other public
services

CC16 334d

Crime Policies - Increase prison sentences for felons who have
already committed two or more serious or violent crimes

CC16 335

Gay Marriage

CC16 337 1

Budget Priorities - Cut Defense Spending

CC16 337 2

Budget Priorities - Cut Domestic Spending

CC16 337 3

Budget Priorities - Raise Taxes

CC16 340a

Ideology - Yourself

CC16 340b

Ideology - Governor

CC16 340c

Ideology - Obama

CC16 340d

Ideology - Hillary Clinton

CC16 340e

Ideology - Donald Trump

CC16 340f

Ideology- Merrick Garland

CC16 340g

Ideology - The Democratic Party

CC16 340h

Ideology - The Republican Party

CC16 340i

Ideology - The United States Supreme Court

CC16 340j

Ideology - $CurrentSen1Name

CC16 340k

Ideology - $CurrentSen2Name

CC16 340l

Ideology - $SenCand1Name

CC16 340m

Ideology - $SenCand2Name

CC16 340n

Ideology - $HouseCand1Name

CC16 340o

Ideoogy - $HouseCand2Namde

CC16 340p

Ideology - House member

CC16 350

SC Appointments

CC16 351A

For or Against - Congress - Approve Garland Nominations

CC16 351B

For or Against - Congress - Trans-Pacific Partnership Act

CC16 351C

For or Against - Congress - USA Freedom Act

CC16 351D

For or Against - Congress - Trade Adjustment Assistence Act

CC16 351E

For or Against - Congress- Education Reform

172

Table 10 – continued from previous page
Variable
CC16 351F

Label
For or Against - Congress - Highway and Transportation
Funding Act

CC16 351G

For or Against - Congress - Iran Sanctions Act

CC16 351H

For or Against - Congress - Medicare Accountability and Cost
Reform Act

CC16 351I

For or Against - Congress - Repeal Affordable Care Act

CC16 351K

For or Against - Congress - Minimum wage

CC16 360

Party Registration

CC16 361

Residence

CC16 364

Does R Intend to Vote in 2016

CC16 364b

Pres vote

CC16 364b t

Pres vote - open

CC16 364c

Pres pref

CC16 364c t

Pres pref - open

CC16 365

Senator pref

CC16 365 t

Senator pref - open

CC16 365a

Senator pref 2nd choice

CC16 365a t

Senator pref 2nd choice- open

CC16 365x

Senate vote

CC16 365x t

Senate vote- open

CC16 366

Governor pref

CC16 366 t

Governor pref - open

CC16 366x

Governor vote

CC16 366x t

Governor vote- open

CC16 366a

Governor pref 2nd choice

CC16 366a t

Governor pref 2nd choice - open

CC16 367

House pref

CC16 367 t

House pref - open

CC16 367a

House pref 2nd choice

CC16 367a t

House pref 2nd choice - open

173

Table 10 – continued from previous page
Variable
CC16 367x

Label
House vote

CC16 367x t

House vote - open

votereg post

Voter Registration Status

CC16 401

Voted 2016

CC16 402a

Main reason didn’t vote

CC16 402a t

Main reason didn’t vote - open

CC16 402b

Second reason didn’t vote

CC16 402b t

Second reason didn’t vote - open

CC16 403

Vote in person or by mail

CC16 403b

Vote at precinct polling place or vote center

CC16 404

Voting length wait time

CC16 404 t

Voting length wait time - open

CC16 405

Registered to vote on Election Day

CC16 406a

Problem with voter registration or ID when trying to vote

CC16 406b 1

Problem with voting - ID

CC16 406b 2

Problem with voting - Registration

CC16 406b 3

Problem with voting - Wrong Place

CC16 406b 4

Problem with voting - Other

CC16 406b t

Problem with voting - open

CC16 406c

Allowed to vote

CC16 407a

Feel intimidated voting

CC16 407b

Why intimidated voting

CC16 410a

President vote

CC16 410a t

President vote

CC16 410b

Senator vote

CC16 410b t

Senator vote - open

CC16 411

Governor vote

CC16 411 t

governor vote - open

CC16 412

House vote

CC16 412 t

House vote - open

174

Table 10 – continued from previous page
Variable
CC16 410a nv

Label
President prefer

CC16 410a nv t

President prefer - open

CC16 410b nv

Senator prefer

CC16 410b nv t

Senator prefer - open

CC16 411 nv

Governor prefer

CC16 411 nv t

Governor prefer

CC16 412 nv

House vote

CC16 412 nv t

House vote - open

CC16 413a

Vote in state elections - Attorney General

CC16 413b

Vote in state elections - Secretary of State

CC16 413c

Vote in state elections - $inputstate State Senator

CC16 413d

Vote in state elections - $LowerChamberName

CC16 414 1

Approve use of US military - ensure the supply of oil

CC16 414 2

Approve use of US military - destroy a terrorist camp

CC16 414 3

Approve use of US military - Intervene in a region

CC16 414 4

Approve use of US military - assist the spread of democracy

CC16 414 5

Approve use of US military - Protect allies from foreign attack

CC16 414 6

Approve use of US military - Help the UN uphold international law

CC16 414 7

Approve use of US military - None of the above

CC16 415r

Budget deficit - spending cuts vs tax increases

CC16 416r

Raise taxes - income tax vs sales tax

CC16 417a 1

Past Year - Attend local political meetings

CC16 417a 2

Past Year - Put up a politcal sign

CC16 417a 3

Past Year - Work for a candidate or campaign

CC16 417a 4

Past Year - Donate money to a candidate, campaign or political organization

CC16 417a 5

Past Year - Donate blood

CC16 417a 6

Past Year - None of these

CC16 417bx 1

Donated Money to - Candidate for President

175

Table 10 – continued from previous page
Variable
CC16 417bx 2

Label
Donated Money to - Candidate for U.S. Senate in my state

CC16 417bx 3

Donated Money to - Candidate for U.S. Senate in another
state

CC16 417bx 4

Donated Money to - Candidate for U.S. House in my state

CC16 417bx 5

Donated Money to - Candidate for U.S. House in another
state

CC16 417bx 6

Donated Money to - Candidate for state office

CC16 417bx 7

Donated Money to - Political party committee (such as the
DNC or RNC)

CC16 417bx 8

Donated Money to - Political action committee at work

CC16 417bx 9

Donated Money to - Political group (not at your work)

CC16 417bx 10

Donated Money to - Other [CC417bx t]

CC16 417bx t1

Donate money - Political group not at work - open

CC16 417bx t2

Donate money - other - open

CC16 417c

Amount contribute to all candidates/committees

CC16 417d 1

How many of the above statements are true for you?

CC16 417d 2

How many of the above statements are true for you?

CC16 417e 1

Campaign contributions are an effective way to influence public policy

CC16 417e 2

Campaign contributions are an effective way to help my
business/industry

CC16 417e 3

Campaign contributions allow me to be part of a network with
other contributors

CC16 417e 4

I prefer to give directly to candidates rather than contribute
money to a politi

CC16 417e 5

For anyone who can afford to contribute, it is a civic duty to
contribute financ

CC16 425a

Contacted by candidate/political org

CC416 25b 1

Candidate/campaign contact - in person

CC416 25b 2

Candidate/campaign contact - Phone call

CC416 25b 3

Candidate/campaign contact - Email or text message

CC416 25b 4

Candidate/campaign contact - Letter or post card

176

Table 10 – continued from previous page
Variable
CC16 418a

Label
Ever run for elective office

CC16 418bx 1

Run for Office - School Board

CC16 418bx 2

Run for Office - Other local board or commission (e.g. zoning
commission)

CC16 418bx 3

Run for Office - City Council

CC16 418bx 4

Run for Office - Mayor

CC16 418bx 5

Run for Office - City or District Attorney

CC16 418bx 6

Run for Office - Countywide office (e.g. supervisor)

CC16 418bx 7

Run for Office - State legislature

CC16 418bx 8

Run for Office - Statewide office

CC16 418bx 9

Run for Office - Federal legislature (U.S. House or Senate)

CC16 418bx 10

Run for Office - Judge

CC16 418bx 11

Run for Office - Other

CC16 418b t

Run for office - open

CC16 421a

3 pt party ID

CC16 421 t

3 pt party ID- open

CC16 421 dem

Party ID Dem Strength

CC16 421 rep

Party ID Rep Strength

CC16 421b

Party ID lean

CC16 422c

Racism - angry racist exists

CC16 422d

Racism - white people have advantages

CC16 422e

Racism - fearful of people of other races

CC16 422f

Racism - racial problems are rare, isoluated situations

CC16 423a

Race/ethnicity politicians - $HouseCand1Name

CC16 423b

Race/ethnicity politicians - $HouseCand2Name

CC16 423c

Race/ethnicity politicans - $CurrentHouseName

CC16 423a other

Race/ethnicity politicians - $HouseCand1Name - open

CC16 423b other

Race/ethnicity politicians - $HouseCand2Name - open

CC16 423c other

Race/ethnicity politicans - $CurrentHouseName - open

CC16 426 1

State spending - Welfare

177

Table 10 – continued from previous page
Variable
CC16 426 2

Label
State spending - health care

CC16 426 3

State spending - education

CC16 426 4

State spending - law enforcement

CC16 426 5

State spending - transportation/infrastructure

CC16 427 a

Grade local community - the schools

CC16 427 b

Grade local community - the police

CC16 427 c

Grade local community - the roads

CC16 427 d

Grade local community - zoning and development

CC16 427 e

Grade local community - the mayor or town/city manager

CC16 427 f

Grade local community - the town/city council

CurrentGovName

Current Governor Name

CurrentGovParty

Current Governor Party

CurrentHouseGender

Current House Gender

CurrentHouseName

Current House Name

CurrentHouseParty

Current House Party

CurrentSen1Gender

Current Senate 1 Gender

CurrentSen1Name

Current Senate 1 Name

CurrentSen1Party

Current Senate 1 Party

CurrentSen2Gender

Current Senate 2 Gender

CurrentSen2Name

Current Senate 2 Name

CurrentSen2Party

Current Senate 2 Party

GovCand1Incumbent

Governor Candidate 1 Incumbent

GovCand1Name

Governor Candidate 1 Name

GovCand1Party

Governor Candidate 1 Party

GovCand2Name

Governor Candidate 2 Name

GovCand2Party

Governor Candidate 2 Party

GovCand3Name

Governor Candidate 3 Name

GovCand3Party

Governor Candidate 3 Party

HouseCand1Incumbent

House Candidate 1 Incumbent

HouseCand1Name

House Candidate 1 Name

178

Table 10 – continued from previous page
Variable
HouseCand1Party

Label
House Candidate 1 Party

HouseCand2Incumbent

House Candidate 2 Incumbent

HouseCand2Name

House Candidate 2 Name

HouseCand2Party

House Candidate 2 Party

HouseCand3Name

House Candidate 3 Name

HouseCand3Party

House Candidate 3 Party

HouseCand4Name

House Candidate 4 Name

HouseCand4Party

House Candidate 4 Party

HouseCand5Name

House Candidate 5 Name

HouseCand5Party

House Candidate 5 Party

HouseCand6Name

House Candidate 6 Name

HouseCand6Party

House Candidate 6 Party

HouseCand7Name

House Candidate 7 Name

HouseCand7Party

House Candidate 7 Party

HouseCand8Name

House Candidate 8 Name

HouseCand8Party

House Candidate 8 Party

HouseCand9Name

House Candidate 9 Name

HouseCand9Party

House Candidate 9 Party

HouseCand10Name

House Candidate 10 Name

HouseCand10Party

House Candidate 10 Party

HouseCand11Name

House Candidate 11 Name

HouseCand11Party

House Candidate 11 Party

LegName

Legislature name

LowerChamberName

Lower chamber name

SenCand1Incumbent

Senate Candidate 1 Incumbent

SenCand1Name

Senate Candidate 1 Name

SenCand1Party

Senate Candidate 1 Party

SenCand2Incumbent

Senate Candidate 2 Incumbent

SenCand2Name

Senate Candidate 2 Name

SenCand2Party

Senate Candidate 2 Party

179

Table 10 – continued from previous page
Variable
SenCand3Name

Label
Senate Candidate 3 Name

SenCand3Party

Senate Candidate 3 Party

SenCand4Name

Senate Candidate 4 Name

SenCand4Party

Senate Candidate 4 Party

CurrentGovParty post

Current Governor Party - post

CurrentHouseGender post

Current House Gender - post

CurrentHouseName post

Current House Name - post

CurrentHouseParty post

Current House Party - post

CurrentSen1Gender post

Current Senate 1 Gender - post

CurrentSen1Name post

Current Senate 1 Name - post

CurrentSen1Party post

Current Senate 1 Party - post

CurrentSen2Gender post

Current Senate 2 Gender - post

CurrentSen2Name post

Current Senate 2 Name - post

CurrentSen2Party post

Current Senate 2 Party - post

GovCand1Incumbent post

Governor Candidate 1 Incumbent - post

GovCand1Name post

Governor Candidate 1 Name - post

GovCand1Party post

Governor Candidate 1 Party - post

GovCand2Incumbent post

Governor Candidate 2 Incumbent - post

GovCand2Name post

Governor Candidate 2 Name - post

GovCand2Party post

Governor Candidate 2 Party - post

GovCand3Name post

Governor Candidate 3 Name - post

GovCand3Party post

Governor Candidate 3 Party - post

HouseCand1Incumbent post House Candidate 1 Incumbent - post
HouseCand1Name post

House Candidate 1 Name - post

HouseCand1Party post

House Candidate 1 Party - post

HouseCand2Incumbent post House Candidate 2 Incumbent - post
HouseCand2Name post

House Candidate 2 Name - post

HouseCand2Party post

House Candidate 2 Party - post

HouseCand3Name post

House Candidate 3 Name - post

HouseCand3Party post

House Candidate 3 Party - post

180

Table 10 – continued from previous page
Variable
HouseCand4Name post

Label
House Candidate 4 Name - post

HouseCand4Party post

House Candidate 4 Party - post

HouseCand5Name post

House Candidate 5 Name - post

HouseCand5Party post

House Candidate 5 Party - post

HouseCand6Name post

House Candidate 6 Name - post

HouseCand6Party post

House Candidate 6 Party - post

HouseCand7Name post

House Candidate 7 Name - post

HouseCand7Party post

House Candidate 7 Party - post

HouseCand8Name post

House Candidate 8 Name - post

HouseCand8Party post

House Candidate 8 Party - post

HouseCand8Name post

House Candidate 9 Name - post

HouseCand9Party post

House Candidate 9 Party - post

HouseCand9Name post

House Candidate 10 Name - post

HouseCand10Party post

House Candidate 10 Party - post

HouseCand10Name post

House Candidate 11 Name - post

HouseCand11Party post

House Candidate 11 Party - post

HouseCand11Name post

House Candidate 4 Name - post

LegName post

Legislature name - post

LowerChamberName post

Lower chamber name - post

SenCand1Incumbent post

Senate Candidate 1 Incumbent - post

SenCand1Name post

Senate Candidate 1 Name - post

SenCand1Party post

Senate Candidate 1 Party - post

SenCand2Incumbent post

Senate Candidate 2 Incumbent - post

SenCand2Name post

Senate Candidate 2 Name - post

SenCand2Party post

Senate Candidate 2 Party - post

SenCand3Name post

Senate Candidate 3 Name - post

SenCand3Party post

Senate Candidate 3 Party - post

SenCand4Name post

Senate Candidate 4 Name - post

SenCand4Party post

Senate Candidate 4 Party - post

starttime post

Interview Start Time- post

181

Table 10 – continued from previous page
Variable
endttime post

Label
Interview End Time- post

starttime pre

Interview Start Time

182



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