| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Democratic party | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Republican party | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which political party will win the U.S. House seat for Pennsylvania's 13th congressional district. It matters because that seat contributes to control of the House and can reflect local and national political trends.
PA-13 is a federal House district whose boundaries and partisan composition can change with redistricting and population shifts; recent cycles have seen competitive contests in many Pennsylvania districts. Outcomes are shaped by local candidates, turnout patterns, and the broader national environment in the election cycle when the seat is contested.
Market prices aggregate the views of traders and update as new information arrives; they are a real-time signal of how participants view the likelihood of each party winning, not a guarantee of outcome.
The market trades which party wins the PA-13 House seat—typically the Democratic party or the Republican party as listed on the event page.
The closing time is set by the market operator and listed on the event page; check the KALSHI event listing for official updates and announcements about any changes to the close date or time.
A win is defined by the party affiliation of the candidate officially declared the winner for the PA-13 seat according to the event's settlement rules, typically based on the certified election results from Pennsylvania election authorities.
If district boundaries change or a special election is held, the market operator may update event details or create a new event; such structural changes can materially alter which voters and counties determine the PA-13 outcome, so review any event notices on KALSHI.
Settlement normally follows the official certification process specified in the market rules; if recounts or legal challenges change the certified outcome, the market will settle according to the final official determination as defined by the event's terms.