Aisha Wahab
Democrat · CA-14 · U.S. House
CA-14 — U.S. House
Safe D 100%Aisha Wahab is not among the listed candidates for this seat — the seat is still up in 2026, as every House seat is. Nominees are not yet set. Runs on a newly enacted district map.
Bio
Aisha Wahab is an American politician who has served since 2026 as the U.S. representative from California's 14th congressional district. A member of the Democratic Party, Wahab served from 2022 to 2026 as a member of the California State Senate from the 10th district and from 2018 to 2022 on the Hayward City Council. She is among the first Afghan Americans elected to public office in the United States, the first Muslim and Afghan American elected to the California State Senate, and the first Afghan American elected to Congress.
Full bio on Wikipedia →Record of service
- In office
- 0.1 years
- First took office
- 2026 (1 terms)
- Seniority
- 439 of 439 by time served
- Age
- 39
Service history, offices and identifiers from unitedstates/congress-legislators (public domain). Years served sum each term rather than subtracting the first start date, so a break in service is not counted as time in office.
Issue profile
Each issue runs left ↔ right, scored from how the member voted on bills tagged to that issue (−1…+1). Issues with too few votes are blank. Overall lean uses DW-NOMINATE.
How they score against the parties
Aisha Wahab's voting record compared with each party's national platform, issue by issue — the same similarity score used across the site.
On the political map
Aisha Wahab (the large ringed dot) among every current member of Congress and the party platforms.
Each small dot is a current member (Dem · Rep); the larger dots are party platforms — click one for its closest members. Economic axis: taxes, healthcare, labor, energy. Social axis: abortion, guns, immigration, civil rights, crime.
Do you vote like Wahab?
Answer a few questions on the issues and see which members of Congress — and which party — actually line up with you.
Most and least aligned members
Treating Wahab's 14 issue scores as a vector, cosine similarity measures whether two voting records point the same way (+100%) or in opposite directions (−100%) — the colleagues whose records align most and least with theirs.
