California 27th District
Currently held by a Democrat · incumbent running · district redrawn for 2026
- Projected margin
- D+25.5
- 80% range
- D+14.0 to D+37.0
- Partisan lean
- D+12.9
- Tipping-point chance
- 0.06%
- Uncertainty multiplier
- 1.80×
The 80% range comes from 200,000 simulations in which this race’s error is correlated with every other race through the national, state and demographic layers.
- Polling average
- no polls
- Fundamentals
- D+25.7
- Blended
- D+25.7
- Similar-race shift
- −1.3
No public polling of this matchup. The forecast rests on fundamentals plus the polling residuals of demographically and politically similar races — which is the normal case: most of the 435 House seats are never polled.
- Partisan lean
- D+12.9
- Elasticity
- 1.15
- Incumbency
- +1.9
- Candidate experience
- 0.0
- Fundraising
- +3.2
- National environment
- D+7.1
- Expected margin
- D+27.0
- 2024 margin
- D+10.1
- 2020 margin
- D+20.1
- Shift 2020 → 2024
- R+10.0
- Votes cast, 2024
- 296,071
Presidential results reaggregated onto the 2026 district lines. This is where the seat’s partisan lean comes from, and it carries most of the forecast in a race nobody has polled.
- Population
- 573,673
- Median age
- 46.7
- Median household income
- $90,600
- Bachelor’s degree or higher
- 28%
- White
- 34%
- Black
- 11%
- Hispanic
- 42%
- Asian
- 11%
Used to find demographically similar districts, so a race with no polling can borrow the polling error of races that look like it.
| Candidate | Party | Raised | Cash on hand |
|---|---|---|---|
| George Whitesides | DEM | $4.0M | $2.6M |
| Jason Gibbs | REP | $379k | $202k |
Receipts across the cycle, from FEC bulk filings. The model uses the ratio between the two sides rather than either total, and weights it lightly — money follows a competitive race at least as much as it causes one.