California 31st District
Currently held by a Democrat · incumbent running · district redrawn for 2026
- Projected margin
- D+28.0
- 80% range
- D+16.5 to D+39.5
- Partisan lean
- D+16.2
- 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+28.2
- Blended
- D+28.2
- Similar-race shift
- −1.2
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+16.2
- Elasticity
- 1.15
- Incumbency
- +1.9
- Candidate experience
- 0.0
- Fundraising
- +1.8
- National environment
- D+7.1
- Expected margin
- D+29.4
- 2024 margin
- D+12.6
- 2020 margin
- D+25.6
- Shift 2020 → 2024
- R+13.0
- Votes cast, 2024
- 291,926
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
- 599,214
- Median age
- 47.5
- Median household income
- $92,500
- Bachelor’s degree or higher
- 29%
- White
- 21%
- Black
- 4%
- Hispanic
- 53%
- Asian
- 21%
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 |
|---|---|---|---|
| Gilbert Cisneros | DEM | $705k | $260k |
| Eric J Ching | REP | $97k | $14k |
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.