EFROS, NEIL
D Β· house
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- FEC candidate id
H4TX03148- Internal id
899c2ba5-c34a-4afd-9054-0dff3d15b588- Status
- challenger
Who this candidate represents
Who lives here β American Community Survey 5-year estimates (2024), TX-03. Source.
| Category | Metric | Value |
|---|---|---|
| People | Population | 846,484 |
| People | Median age | 38 |
| Income | Median household income | $121,914 |
| Income | Per-capita income | $54,083 |
| Income | In poverty | 6.2% |
| Income | Unemployed | 4.1% |
| Income | Gini inequality index | 0.428 |
| Race | White alone | 58.6% |
| Race | Black alone | 10.8% |
| Race | Asian alone | 14.0% |
| Race | Hispanic or Latino | 16.4% |
| Race | Two or more races | 12.0% |
| Origin | Foreign-born | 18.6% |
| Language | Speaks English only at home | 73.4% |
| Language | Speaks Spanish at home | 10.7% |
| Education | High school or higher | 67.4% |
| Education | Bachelor's or higher | 50.2% |
| Education | Advanced degree | 19.1% |
| Household | Family households | 77.6% |
| Household | Avg household size | 2.91 |
| Household | Never married (15+) | 27.3% |
| Housing | Median home value | $449,700 |
| Housing | Median gross rent | $1,861 |
| Housing | Single-family detached | 77.1% |
| Housing | Built before 1940 | 0.7% |
| Housing | Overcrowded (>1 per room) | 2.9% |
| Housing | Vacant units | 5.0% |
| Service | Veterans (18+) | 5.7% |
| Health | With a disability | 8.9% |
| Connectivity | Households with broadband | 95.5% |
| Connectivity | Households with no internet | 3.2% |
| Commute | Drove alone | 65.0% |
| Commute | Public transit | 0.3% |
| Commute | Worked from home | 24.6% |
Elections
- 2024 general house Β· TX-3 β running
Committees
- EFROS FOR TEXAS β principal Β· type H
Election prediction
Cycle 2026 Β· model baseline-v1 Β· base rate 15.1%
P(win) = 25.1%
| Feature | Ξ 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)
| date | type | to | amount | role | source |
|---|---|---|---|---|---|
| β | principal_candidate_of | EFROS FOR TEXAS | β | candidate_committees |