Is this you? Send us a photo
New York · U.S. House — District 17 · 2026
Cait Conley
Democratic Challenger Official filing data
Record last updated:
Filing facts
- Name as filed
- CONLEY, CAIT
- Office sought
- U.S. House — District 17, New York
- Election year
- 2026
- Party (as filed)
- Democratic
- Seat status
- Challenger
- FEC status
- Statutory candidate (raised or spent over $5,000)
- Website
- Campaign website: caitconley.com
- FEC candidate ID
- H6NY17171
- Principal committee
- C00900431
Campaign finance summary
As reported to the FEC, through 10/14/2026. Figures are cycle-to-date totals for the principal campaign committee.
| Total receipts | $10,706,692 |
|---|---|
| Contributions from individuals | $9,386,799 |
| Total disbursements | $9,758,153 |
| Cash on hand | $948,540 |
Stated positions
Paraphrased neutrally from the candidate’s own published materials. Each statement is attributed (“states…”) and cited. We do not evaluate the feasibility or accuracy of promises. Every candidate in this race is summarized the same way. How we compile these.
| Topic | Summary of stated position | Source |
|---|---|---|
| Child care | Supports federal subsidies and tax credits for child care and universal pre-K. | Campaign website — caitconley.com/policy Accessed October 22, 2026 |
| Career education | Calls for expanding BOCES, Career and Technical Education and community college programs. | Campaign website — caitconley.com/policy Accessed October 22, 2026 |
| Schools | Calls for modernizing aging school infrastructure. | Campaign website — caitconley.com/policy Accessed October 22, 2026 |
| Climate | Lists fighting climate change as a national security priority. | Campaign website — caitconley.com/policy Accessed October 22, 2026 |
Attributed to the candidate; not verified or evaluated by SaveYourState. Candidates can request a correction by pointing to their own published materials.
Legislative record
No sponsored legislation is linked to this candidate. Records are linked by official legislator ID only — never by name matching — to avoid misattribution.