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Wisconsin
ALL votes from all counties.
Precincts added in order of number of votes.
Voters: 2,429,089 Precincts (polling places): 3,583 Average voters per precinct: 678 Votes in median precinct: 563
Voting Machine:
Statewide aggregated Republican margin percentage increase (deltaM): 6.4%
Statewide aggregated Republican margin vote increase (deltaMxV): 155,181deltaM by County (for counties with more than 50 polling places)
Click column header to sort.
County | deltaM | deltaMxV | Precincts | Voting Machine |
---|
BROWN | -6.3% | -6,334 | 95 | ES&S |
CLARK | -25% | -2,848 | 50 | ES&S+Paper |
DANE | 42% | 104,643 | 219 | ES&S |
DODGE | -40.1% | -14,759 | 60 | Premier/Diebold |
EAU CLAIRE | 0.9% | 390 | 75 | Sequoia |
FOND DU LAC | -30.6% | -13,125 | 66 | Dominion Voting Systems |
GRANT | -12.1% | -2,075 | 54 | Sequoia+Paper |
KENOSHA | 25.4% | 14,330 | 113 | ES&S |
LA CROSSE | 17.8% | 8,599 | 50 | ES&S |
MARATHON (OTHER) | -40% | -16,777 | 70 | ES&S |
MILWAUKEE | 49.1% | 180,136 | 477 | ES&S |
OUTAGAMIE | -22.7% | -17,013 | 98 | Sequoia+Paper |
OZAUKEE | -37.7% | -17,597 | 60 | |
RACINE | 28.6% | 22,714 | 69 | Sequoia |
ROCK | 13.3% | 7,775 | 93 | ES&S |
SHEBOYGAN | -15.4% | -7,740 | 62 | Sequoia |
WAUKESHA | -39% | -79,191 | 193 | ES&S |
WINNEBAGO | -8.6% | -5,946 | 82 | Dominion Voting Systems |
Click legend entry to show or hide a line.
Options:
Note: X/Y graph display only works for all votes, sorted by precinct size (number of votes)These graphs show each candidate's CUMULATIVE percent of the vote for all points to the left of and including each precinct. As you move to the right, the results from more and more precincts are included. If you choose "ALL" votes, the points at the far right of the graph represent the outcome of the election.
In order to get a sense of what might be expected if there is no strong correlation between precinct size and political leaning, select "Count votes: In random order". Each time you redraw the graph you will see cumulative totals for randomly sorted precincts.
Benford's Law Analysis
This analysis compares the expected statistical distribution of the left-most digit of the vote count of each precinct to what would be expected for randomly distributed vote counts. It is a method used by forensic accountants to detect possible fraud. There is controversy about whether this law can be applied to elections, but we thought we would have a look at it anyway. Read more here.
NOTE: We show this analysis when there are 50 or more precincts in the set. Some argue that this analysis is best used with sets containing approximately 500 data points or more. Additionally, it is likely to fail if there are a great many precincts of approximately the same size.
Expected Benford's Law Distribution
Leftmost Digit of Vote Count - Frequency of Occurrence
Benford's Law Distribution for
SCOTT WALKER
Leftmost Digit of Vote Count - Frequency of Occurance
Benford's Law Distribution for
MARY BURKE
Leftmost Digit of Vote Count - Frequency of Occurance
Benford's Law Distribution for
ROBERT BURKE
Leftmost Digit of Vote Count - Frequency of Occurance
Benford's Law Distribution for
DENNIS FEHR
Leftmost Digit of Vote Count - Frequency of Occurance
Show Data
Leftmost Digit | Expected Distribution | SCOTT WALKER | MARY BURKE | ROBERT BURKE | DENNIS FEHR |
1 | 30.1% | 29.4% | 26.9% | 29.7% | 33.8% |
2 | 17.6% | 18.4% | 18.2% | 17.8% | 24.4% |
3 | 12.5% | 13.3% | 13.8% | 12.8% | 15.6% |
4 | 9.7% | 10.4% | 10.5% | 10.1% | 10.7% |
5 | 7.9% | 8.3% | 8.9% | 8% | 5.7% |
6 | 6.7% | 6.2% | 7.3% | 6.1% | 4.3% |
7 | 5.8% | 5.5% | 5.9% | 6.5% | 3.1% |
8 | 5.1% | 4.7% | 4.7% | 5% | 1.2% |
9 | 4.6% | 3.9% | 3.9% | 4.1% | 1.3% |