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California's 35th Congressional District

The current officeholder, the 2024 result, and a precinct-level model you can run yourself — built from how California actually voted.

Model California's 35th Congressional District →

California's 35th Congressional District — highlighted within California's U.S. House districts · 2024: D+16.8 · open the interactive map →

Current officeholder

Norma J. Torres Democratic

2024 result

Democratic D+16.8

2024 votes cast

233,268

Office

U.S. House

District health & safety estimate

Context for Norma J. Torres's district

CDC WONDER, 2016–2022 · translated from county data

#164 highest estimated rate of 412 districts with publishable coverage

6.5estimated homicides per 100,000 residents / year

Reporting-population coverage100.0%

This is a county-derived estimate, not a direct CDC congressional-district statistic. Counties with suppressed small counts are missing, never counted as zero. Rank 1 is the highest estimated rate.

Who lives in this district

This district is home to about 762,560 people, median age 34.1, median household income $87,859.

Population

762,560

Median age

34.1

Median household income

$87,859

Bachelor's degree or higher

22.7%

Race & ethnicity: White 14.6% · Black 6.5% · Hispanic 64.8% · Asian 11.8%

Source: U.S. Census Bureau, 2019–2023 American Community Survey (5-year).

Precinct results — 2024 general

655 precincts reported in California's 35th Congressional District's 2024 general election. The twenty largest:

Precinct Winner Margin Votes
06071-CN31694A Democratic D+10.5 2,385
06071-CN31684A Republican R+2.4 2,382
06071-ON31655A Democratic D+10.7 2,377
06065-221107A Democratic D+6.2 2,133
06065-225112A Republican R+7.3 1,830
06071-FO41560A Democratic D+20.7 1,748
06071-ON31698A Democratic D+11.3 1,728
06065-225106A Republican R+9.2 1,665
06071-CN41691A Republican R+0.1 1,621
06071-UP10959A Democratic D+5.9 1,596
06071-ON31656A Democratic D+18.6 1,543
06065-223110A Democratic D+2.9 1,512
06071-CN21680A Democratic D+5.9 1,471
06071-FO41563A Democratic D+30.2 1,441
06071-ON41625A Democratic D+27.1 1,441
06071-FO41528A Democratic D+24.0 1,413
06071-MON1588A Democratic D+30.6 1,398
06037-5250027BA Democratic D+43.0 1,385
06065-224104A Democratic D+1.8 1,385
06071-CH31732A Republican R+8.6 1,377

All 655 precincts are modelable — open the race in the simulator and drill to precinct grain.

Find your district

Enter a ZIP code or a district (e.g. NC-4) to find your U.S. House district and who represents it.

Model California's 35th Congressional District in five steps

  1. Set the candidates. Name the contenders for the California's 35th Congressional District (or keep the generic Democrat / Republican defaults). The map starts from real 2024 results in every precinct.
  2. Apply a swing. Move vote share statewide, or by demographic cohort, with a slider. The map and the running tally recompute instantly.
  3. Model turnout. Mobilize or depress turnout for any group — turnout and persuasion are modeled separately, the way a real campaign thinks about them.
  4. Drill to precincts. Zoom from the state down to individual precincts and override any of them by hand.
  5. Roll up & share. Roll the result up to chamber control, then publish a shareable, frozen link to your scenario.

Open California's 35th Congressional District in the simulator →

Frequently asked

Who represents California's 35th Congressional District?
Norma J. Torres (Democratic) currently holds this U.S. House seat.
What was the 2024 result in California's 35th Congressional District?
D+16.8 — 136,260 Democratic, 97,008 Republican, of 233,268 votes cast.
Can I model this race myself?
Yes — open it in the electionsmcp simulator and model vote-share swing and turnout from the real 2024 baseline, down to the precinct, then roll it up to chamber control.
What is the homicide-rate estimate for California's 35th Congressional District?
California's 35th Congressional District has a county-derived estimate of 6.5 homicides per 100,000 residents per year and ranks 164 of 412 districts with publishable coverage, where rank 1 is the highest estimated rate. Reporting-population coverage is 100.0%.

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