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California's 33rd 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 33rd Congressional District →

California's 33rd Congressional District — highlighted within California's U.S. House districts · 2024: D+17.6 · open the interactive map →

Current officeholder

Pete Aguilar Democratic

2024 result

Democratic D+17.6

2024 votes cast

233,036

Office

U.S. House

District health & safety estimate

Context for Pete Aguilar's district

CDC WONDER, 2016–2022 · translated from county data

#142 highest estimated rate of 412 districts with publishable coverage

7.0estimated 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 759,341 people, median age 33.3, median household income $83,261.

Population

759,341

Median age

33.3

Median household income

$83,261

Bachelor's degree or higher

20.9%

Race & ethnicity: White 17.3% · Black 9.7% · Hispanic 62.8% · Asian 6.9%

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

Precinct results — 2024 general

397 precincts reported in California's 33rd Congressional District's 2024 general election. The twenty largest:

Precinct Winner Margin Votes
06071-1211 Democratic D+0.2 2,897
06071-1216 Democratic D+3.5 2,748
06071-1006 Republican R+1.0 2,734
06071-1044 Democratic D+4.5 2,665
06071-1499 Democratic D+19.5 2,580
06071-1095 Democratic D+27.3 2,499
06071-1046 Democratic D+0.7 2,452
06071-1023 Democratic D+16.1 2,436
06071-1497 Democratic D+26.2 2,361
06071-1500 Democratic D+15.9 2,303
06071-1027 Democratic D+16.9 2,129
06071-1015 Democratic D+8.7 2,120
06071-1442 Democratic D+16.9 2,106
06071-1091 Democratic D+13.1 2,021
06071-1215 Republican R+0.6 1,979
06071-1239 Republican R+2.0 1,891
06071-1230 Democratic D+3.4 1,845
06071-1506 Democratic D+21.2 1,840
06071-1296 Democratic D+8.7 1,723
06071-1437 Democratic D+14.0 1,717

All 397 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 33rd Congressional District in five steps

  1. Set the candidates. Name the contenders for the California's 33rd 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 33rd Congressional District in the simulator →

Frequently asked

Who represents California's 33rd Congressional District?
Pete Aguilar (Democratic) currently holds this U.S. House seat.
What was the 2024 result in California's 33rd Congressional District?
D+17.6 — 137,081 Democratic, 95,955 Republican, of 233,036 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 33rd Congressional District?
California's 33rd Congressional District has a county-derived estimate of 7.0 homicides per 100,000 residents per year and ranks 142 of 412 districts with publishable coverage, where rank 1 is the highest estimated rate. Reporting-population coverage is 100.0%.

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