Election Day, Nov 3 6 daysSenate D 85%House D 97%Governors D 86%Forecast updated Oct 28
2026 forecast · Hawaii 2nd

Jill Tokuda is all but certain to win Hawaii's 2nd District.

Jill Tokuda vs Brenton Awa. The model has Tokuda ahead by 39.6 points, winning 100 percent of 2,000 simulated elections.

Safe DModel D +39.6Updated October 28, 2026
Jill Tokuda
Democrat
68.7%
153,861 projected votes
Brenton Awa
Republican
29.1%
65,129 projected votes
100%Tokuda
0%Awa
Tokuda all but certainEach square is one simulated election night, Tokuda wins about 100 of 100
RatingSafe D100% chance for Tokuda
Model marginD +39.6No polls in the race
80 percent rangeD +47.5 to D +31.52,000 simulations
Projected votes223,949Tokuda 68.7%

The district map

Every district in the state, shaded by its rating

Hawaii districts

2 districts
Safe DLikely DLean DToss upLean RLikely RSafe R

Vote share

Each candidate's projected share and the range of 80 percent of simulations

Jill TokudaDemocrat · 100% to win
68.7%
Brenton AwaRepublican · 0% to win
29.1%

Scale runs from 25 to 75 percent. The dot is the forecast, the band is the 80 percent range and the brighter tick marks 50 percent.

Projected district vote

223,949 votes
CandidateVotesShare
Jill Tokuda D153,86168.7%
Brenton Awa R65,12929.1%
Edward Codelia I4,9592.2%
Total223,949100%

Each candidate's expected vote in the On Point simulation, at the forecast's projected turnout.

The trend

Each side's chance of winning over the forecast's recent updates

0%25%50%75%100%100% Tokuda0% Awa18 updates agoToday

Polling

Every poll in the average, and how the model reads it

Polls of the race

PollsterSampleAgeMargin
On Point averageWeighted averageNo polls

Each margin is the poll as the pollster published it. The forecast counts every poll after its house effect and the undecided split, which is what the trail above shows; hover a margin for the counted value. Lean R and Lean D mark partisan leaning firms.

Model margin
Tokuda +39.6
Chance of winning
Jill Tokuda100%
Brenton Awa0%
Simulated vote
Jill Tokuda68.7%
Brenton Awa29.1%
Edward Codelia2.2%
How the model gets there
Partisan leanR +22.0
FundamentalsD +39.9
With pollsD +39.6

How we got here

From the state's partisan lean to the forecast, one stage at a time

D +48R +48Partisan leanthe state's baselineR +22.0Fundamentalsapproval, economy, candidatesD +39.9With pollsno pollsD +39.6
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Methodology
Every county is rebuilt by simulating voters going to the polls, 2,000 times, from On Point Polling survey data, past results, and the polling average. How the model works.