California 37th District
Currently held by a Democrat · incumbent running · district redrawn for 2026 · same-party (top-two) contest
- Projected margin
- D+86.8
- 80% range
- D+75.3 to D+98.3
- Partisan lean
- D+65.7
- 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+87.0
- Blended
- D+87.0
- Similar-race shift
- −2.5
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+65.7
- Elasticity
- 1.15
- Incumbency
- +1.9
- Candidate experience
- +0.8
- Fundraising
- +4.2
- National environment
- D+7.1
- Expected margin
- D+89.5
- 2024 margin
- D+62.3
- 2020 margin
- D+74.7
- Shift 2020 → 2024
- R+12.4
- Votes cast, 2024
- 235,123
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
- 592,275
- Median age
- 43.1
- Median household income
- $64,300
- Bachelor’s degree or higher
- 28%
- White
- 15%
- Black
- 27%
- Hispanic
- 50%
- Asian
- 9%
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 |
|---|---|---|---|
| Sydney Kamlager-dove | DEM | $1.2M | $185k |
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.