KIRBY, ANDREA
OTHER Β· house
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- FEC candidate id
H8MI09142- Internal id
0159f7f9-4357-4472-beff-3080a58b7d4b- Status
- challenger
Who this candidate represents
Who lives here β American Community Survey 5-year estimates (2024), MI-10. Source.
| Category | Metric | Value |
|---|---|---|
| People | Population | 771,566 |
| People | Median age | 41 |
| Income | Median household income | $76,410 |
| Income | Per-capita income | $41,502 |
| Income | In poverty | 10.7% |
| Income | Unemployed | 5.9% |
| Income | Gini inequality index | 0.439 |
| Race | White alone | 71.8% |
| Race | Black alone | 13.8% |
| Race | Asian alone | 6.8% |
| Race | Hispanic or Latino | 3.2% |
| Race | Two or more races | 6.2% |
| Origin | Foreign-born | 14.0% |
| Language | Speaks English only at home | 82.2% |
| Language | Speaks Spanish at home | 1.6% |
| Education | High school or higher | 58.1% |
| Education | Bachelor's or higher | 30.5% |
| Education | Advanced degree | 11.4% |
| Household | Family households | 61.8% |
| Household | Avg household size | 2.38 |
| Household | Never married (15+) | 34.2% |
| Housing | Median home value | $233,800 |
| Housing | Median gross rent | $1,241 |
| Housing | Single-family detached | 66.6% |
| Housing | Built before 1940 | 4.4% |
| Housing | Overcrowded (>1 per room) | 1.8% |
| Housing | Vacant units | 4.3% |
| Service | Veterans (18+) | 4.8% |
| Health | With a disability | 14.1% |
| Connectivity | Households with broadband | 93.1% |
| Connectivity | Households with no internet | 5.6% |
| Commute | Drove alone | 74.4% |
| Commute | Public transit | 0.7% |
| Commute | Worked from home | 14.6% |
Elections
- 2018 general house Β· MI-9 β lost_general
- 2020 general house Β· MI-9 β running
- 2022 general house Β· MI-10 β lost_general
- 2024 general house Β· MI-10 β lost_general
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.