pac.dog pac.dog / Candidates

RECTOR, CHRISTOPHER

D Β· house

Sign in to add to a watchlist β†’

FEC candidate id
H2TX12093
Internal id
f897afcc-c10d-40ec-87da-3d49f98b35c4
Status
challenger

Who this candidate represents

Who lives here β€” American Community Survey 5-year estimates (2024), TX-25. Source.

CategoryMetricValue
PeoplePopulation806,742
PeopleMedian age38
IncomeMedian household income$80,508
IncomePer-capita income$38,428
IncomeIn poverty11.0%
IncomeUnemployed5.1%
IncomeGini inequality index0.439
RaceWhite alone62.9%
RaceBlack alone12.1%
RaceAsian alone3.4%
RaceHispanic or Latino23.4%
RaceTwo or more races14.8%
OriginForeign-born11.0%
LanguageSpeaks English only at home79.2%
LanguageSpeaks Spanish at home15.1%
EducationHigh school or higher58.2%
EducationBachelor's or higher31.1%
EducationAdvanced degree10.2%
HouseholdFamily households69.7%
HouseholdAvg household size2.69
HouseholdNever married (15+)31.0%
HousingMedian home value$290,000
HousingMedian gross rent$1,411
HousingSingle-family detached68.9%
HousingBuilt before 19402.1%
HousingOvercrowded (>1 per room)3.6%
HousingVacant units9.8%
ServiceVeterans (18+)6.8%
HealthWith a disability12.9%
ConnectivityHouseholds with broadband92.4%
ConnectivityHouseholds with no internet5.2%
CommuteDrove alone76.2%
CommutePublic transit0.2%
CommuteWorked from home11.3%

Cycle financials

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

CycleRaisedSpentCash on handDebtsIndiv. contribs.
2022$0$0$0$0$0

Elections

Committees

Election prediction

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

P(win) = 25.1%

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

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_ofRECTOR FOR CONGRESSβ€”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.

Estimated value: $180/mo per user β€” but we made it free.