pac.dog pac.dog / Candidates

GAGNIER, CHRISTINA

D Β· house

Sign in to add to a watchlist β†’

FEC candidate id
H4CA35049
Internal id
7d071852-a518-4fa9-ad6f-21ae3dfe30bd
Status
open seat

Who this candidate represents

Who lives here β€” American Community Survey 5-year estimates (2024), CA-35. Source.

CategoryMetricValue
PeoplePopulation764,518
PeopleMedian age35
IncomeMedian household income$91,136
IncomePer-capita income$33,155
IncomeIn poverty11.9%
IncomeUnemployed6.5%
IncomeGini inequality index0.412
RaceWhite alone21.4%
RaceBlack alone6.3%
RaceAsian alone12.2%
RaceHispanic or Latino65.3%
RaceTwo or more races22.9%
OriginForeign-born28.7%
LanguageSpeaks English only at home44.0%
LanguageSpeaks Spanish at home45.0%
EducationHigh school or higher50.7%
EducationBachelor's or higher23.4%
EducationAdvanced degree7.0%
HouseholdFamily households78.4%
HouseholdAvg household size3.36
HouseholdNever married (15+)40.9%
HousingMedian home value$614,200
HousingMedian gross rent$1,991
HousingSingle-family detached59.8%
HousingBuilt before 19404.0%
HousingOvercrowded (>1 per room)12.3%
HousingVacant units3.3%
ServiceVeterans (18+)3.2%
HealthWith a disability9.9%
ConnectivityHouseholds with broadband94.7%
ConnectivityHouseholds with no internet3.6%
CommuteDrove alone73.0%
CommutePublic transit1.2%
CommuteWorked from home11.6%

Cycle financials

Source: FEC weball bulk file (cycle summary). Numbers in USD; 0 = no activity reported.

CycleRaisedSpentCash on handDebtsIndiv. contribs.
2016$0$0$0$0$0
2014$82,379$82,379$0$10,000$61,533

Elections

Committees

Election prediction

Cycle 2026 Β· model baseline-v1 Β· base rate 15.1%

P(win) = 20.1%

FeatureΞ” P(win)
Base rate (historical)15.1%
D (major party)+10.0%
open seat-5.0%

Baseline model (incumbency Γ— party Γ— office). Calibration: backtest Brier score is the reference, see npm run db:ingest -- --source=predict-backtest-election. Future model versions must beat baseline Brier on the same held-out cohort or they don't ship.

Connected on the graph

Outbound (1)

datetypetoamountrolesource
β€”principal_candidate_ofGAGNIER FOR CONGRESS 2014β€”candidate_committees

pac.dog is a free, independent, non-partisan research tool. Every candidate, committee, bill, vote, member, and nonprofit on this site is mirrored from primary U.S. government sources (FEC, congress.gov, govinfo.gov, IRS) and each state's Secretary of State / election commission β€” no third-party data vendors, no paywall, no editorial intermediation. Citations to the originating source are on every detail page. Want to partner? Contact us.

Costs about $62/month to run β€” free to use.