FENG, KARENA APPLE MS.
I Β· house
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- FEC candidate id
H2CA10236- Internal id
b7bc02c0-c209-4c91-bf56-081b6a65bd5f- Status
- challenger
Who this candidate represents
Who lives here β American Community Survey 5-year estimates (2024), CA-09. Source.
| Category | Metric | Value |
|---|---|---|
| People | Population | 774,084 |
| People | Median age | 36 |
| Income | Median household income | $91,983 |
| Income | Per-capita income | $37,613 |
| Income | In poverty | 12.6% |
| Income | Unemployed | 7.6% |
| Income | Gini inequality index | 0.439 |
| Race | White alone | 33.1% |
| Race | Black alone | 7.0% |
| Race | Asian alone | 17.7% |
| Race | Hispanic or Latino | 42.4% |
| Race | Two or more races | 20.6% |
| Origin | Foreign-born | 24.7% |
| Language | Speaks English only at home | 57.8% |
| Language | Speaks Spanish at home | 27.0% |
| Education | High school or higher | 50.0% |
| Education | Bachelor's or higher | 22.7% |
| Education | Advanced degree | 7.5% |
| Household | Family households | 74.6% |
| Household | Avg household size | 3.15 |
| Household | Never married (15+) | 37.1% |
| Housing | Median home value | $530,800 |
| Housing | Median gross rent | $1,729 |
| Housing | Single-family detached | 74.2% |
| Housing | Built before 1940 | 4.8% |
| Housing | Overcrowded (>1 per room) | 8.3% |
| Housing | Vacant units | 5.9% |
| Service | Veterans (18+) | 4.3% |
| Health | With a disability | 12.8% |
| Connectivity | Households with broadband | 92.5% |
| Connectivity | Households with no internet | 5.1% |
| Commute | Drove alone | 73.7% |
| Commute | Public transit | 0.8% |
| Commute | Worked from home | 10.7% |
Cycle financials
Source: FEC weball bulk file (cycle summary). Numbers in USD; 0 = no activity reported.
| Cycle | Raised | Spent | Cash on hand | Debts | Indiv. contribs. |
|---|---|---|---|---|---|
| 2024 | $0 | $0 | $0 | $0 | $0 |
| 2022 | $6,386,866 | $6,381,715 | $0 | $0 | $65,200 |
Elections
Committees
No committees on file.
Election prediction
Cycle 2026 Β· model baseline-v1 Β· base rate 15.1%
P(win) = 15.1%
| Feature | Ξ P(win) |
|---|---|
| Base rate (historical) | 15.1% |
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.