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Chance the Democrat wins (<0.1%)
Chance the Republican wins (>99.9%)
We'll be updating our forecasts every time new data is available, every day through Nov. 6.
The Classic version of our model projects a race’s outcome by taking a weighted average of polls of a district (if available), polls of similar districts (CANTOR) and non-polling factors (fundamentals). It is then reverted toward a mean based on long-term trends in midterms and presidential approval ratings.
R+35.0
Adjusted polls
R+19.4
CANTOR
R+27.0
Fundamentals
R+27.6
Experts
R+23.2
Lite
R+27.6
Classic
R+27.6
Deluxe
<0.1
<0.1
Historical adjustment
Key
More weight
Less
We've collected one poll for the Idaho 2nd. We’re adjusting poll results in three ways: Polls of registered voters or all adults are adjusted to a likely-voter basis; older polls are adjusted based on shifts in the generic congressional ballot since the poll was conducted; and polls are adjusted for house effects (the tendency for a firm’s polls to lean toward Democrats or Republicans). Polls with larger sample sizes and those conducted by higher-quality polling agencies are given more weight, as are more recent polls.
Adjustments | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
dates | pollster | sample | weight | Swisher | Simpson | margin | likely voter | Time-line | House effects | Adjusted margin | |
Jun. 22-Jul. 9 6/22-7/9 | Dan Jones & Associates | 285 | A | 0.27 | 23% | 59% | R+36.0 | 1.4 | 0.8 | 1.6 | R+35.0 |
Key
A = adults
RV = Registered voters
V = voters
LV = likely voters
= partisan poll
Our district similarity scores are based on demographic, geographic and political characteristics; if two districts have a score of 100, it means they are perfectly identical. These scores inform a system we use — CANTOR, or Congressional Algorithm using Neighboring Typologies to Optimize Regression — to infer what polling would say in unpolled or lightly polled districts, given what it says in similar districts.
Sim. score | Polling avg. | ||
---|---|---|---|
ID-1 | 69 | R+7.0 | |
UT-2 | 65 | R+20.6 | |
OR-2 | 62 | R+12.7 | |
CA-1 | 60 | — | |
CO-4 | 57 | — | |
UT-1 | 57 | R+33.3 | |
WA-5 | 57 | R+6.9 | |
WY at large | 56 | R+27.6 | |
WA-4 | 55 | — | |
CO-5 | 54 | — |
The Classic and Deluxe versions of our model use several non-polling factors to forecast the vote share margin in each district.
Factor | Impact | Explanation |
---|---|---|
Incumbency | 3.1 | Mike Simpson has been elected to 10 terms. Congress has only a 20.1% approval rating, reducing the incumbency advantage. |
District partisanship | 10.9 | ID-2 is 29.9 percentage points more Republican-leaning than the country overall, based on how it has voted in recent presidential and state legislative elections. It voted for Trump in 2016 and Romney in 2012. |
Incumbent's margin in last election | 13.6 | Simpson won by 33.5 percentage points in 2016. |
Generic ballot | 6.9 | Democrats lead by an average of 8.6 percentage points in polls of the generic congressional ballot. |
Fundraising | 6.7 | As of Oct. 17, Simpson had raised $336,000 in individual contributions (77% of all such contributions to the major-party candidates); Aaron Swisher had raised $102,000 (23%). |
Incumbent's voting record in Congress | 1.1 | Simpson has voted with Republicans 82% of the time in roll-call votes in recent sessions of Congress. |
Challenger experience | 0.7 | Swisher has never held elected office. |
Scandals | 0.0 | Neither candidate is involved in a scandal. |
Total | R+27.0 |
The Deluxe version of our model calculates an implied margin for each race based on expert race ratings from The Cook Political Report, Inside Elections and Sabato's Crystal Ball; it then adjusts that margin toward its estimate of the national political environment.
Equivalent Margin | |||
---|---|---|---|
Expert | Rating | Raw | Adjusted |
Cook Political Report | R+28.0 | R+27.3 | |
Inside Elections | R+28.0 | R+27.1 | |
Sabato's Crystal Ball | R+28.0 | R+28.3 | |
Average | R+28.0 | R+27.6 |
Nate Silver explains the methodology behind our 2018 midterms forecast. Read more …
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