TOTAL VOLUME:

$134.2b

24H VOL:

$126,324,530

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

Markets across

30,401

events

MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Economics
TSA avg check-ins from Sep 7 to 13, 2026?
kalshi

TSA avg check-ins from Sep 7 to 13, 2026?

Volume:
$15,853

Above 2.35 million

 - Kalshi

Above 2.35 million - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 15, 2026

Closed: Sep 13, 11:59 PM EST

kalshi

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Above 2.35 million

View
100%
28%
Yes 100¢No 0¢
100¢
N/A
$5,143
N/A
N/A
$2,520
Settled
Yes
kalshi

Above 2.3 million

100%
3%
Yes 100¢No 0¢
100¢
N/A
$4,154
N/A
N/A
$3,632
Settled
Yes
kalshi

Above 2.25 million

100%
1%
Yes 100¢No 0¢
100¢
N/A
$2,122
N/A
N/A
$1,608
Settled
Yes
kalshi

Above 2.2 million

100%
1%
Yes 100¢No 0¢
100¢
N/A
$201
N/A
N/A
$201
Settled
Yes
kalshi

Above 1.8 million

100%
Yes 100¢No 0¢
100¢
N/A
$6
N/A
N/A
$6
Settled
Yes
kalshi

Above 1.95 million

100%
Yes 100¢No 0¢
100¢
N/A
$5
N/A
N/A
$5
Settled
Yes
kalshi

Above 2.1 million

100%
Yes 100¢No 0¢
100¢
N/A
$5
N/A
N/A
$5
Settled
Yes
kalshi

Above 1.85 million

100%
Yes 100¢No 0¢
100¢
N/A
$1
N/A
N/A
$1
Settled
Yes
kalshi

Above 1.9 million

100%
Yes 100¢No 0¢
100¢
N/A
$1
N/A
N/A
$1
Settled
Yes
kalshi

Above 2.45 million

0%
1%
Yes 0¢No 100¢
100¢
N/A
$3,190
N/A
N/A
$3,190
Settled
No
kalshi

Above 2.4 million

0%
2%
Yes 0¢No 100¢
100¢
N/A
$689
N/A
N/A
$481
Settled
No
kalshi

Above 2.5 million

0%
2%
Yes 0¢No 100¢
100¢
N/A
$335
N/A
N/A
$335
Settled
No
kalshi

Above 2 million

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
kalshi

Above 2.05 million

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
kalshi

Above 2.15 million

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
kalshi

Above 2.55 million

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
No
kalshi

Above 2.6 million

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
No
kalshi

Above 2.65 million

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
No
kalshi

Above 2.7 million

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
No
kalshi

Above 2.75 million

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
No
kalshi

Above 2.8 million

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 21

Description

This event tracks the Transportation Security Administration's weekly average airport check-ins during a specific week in 2026. It provides a way to assess travel demand trends by comparing actual check-in numbers against various thresholds.

Kalshi

The event evaluates whether the Transportation Security Administration's weekly average airport screenings for the week ending September 13, 2026, exceed specified thresholds ranging from 1.8 million to 2.8 million. Each threshold represents a separate market outcome, with the market resolving to 'Yes' if the actual average surpasses the corresponding threshold. All markets share uniform expiration and trading rules: contracts expire at the earlier of 9:00 AM following data release for September 13, 2026, or one week after that date, with a fixed last trading date and time of 11:59 PM on September 13, 2026. The resolution depends solely on TSA-reported data for the defined week.

Frequently asked questions

On Kalshi, the dashboard for the TSA check-in market tracks the current price of contracts, reflecting predictions about the average number of TSA security check-ins between September 7th and 13th, 2026. You’ll also find a price history chart to visualize how predictions have shifted over time, and the 24-hour trading volume, currently at $4,842. Total volume for this market is $15,853. This allows participants to gauge market sentiment and identify potential trading opportunities related to travel volume forecasts.

Comparing prediction market odds to analyst forecasts reveals how collective intelligence differs from expert opinions. Currently, this market reflects the aggregated predictions of many traders, offering a view that may diverge from individual analyst projections for travel patterns in September 2026. While analysts might rely on economic indicators and historical data, this market incorporates a broader range of information and potential unforeseen events, potentially leading to a different expectation of the average daily TSA check-ins during the specified period.

On Kalshi, this market is priced through a continuous auction mechanism, where traders buy and sell contracts representing their beliefs about the final outcome. The price of a contract indicates the probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information becomes available, the price adjusts to reflect the evolving consensus. The current price reflects the market’s best estimate of the average number of TSA check-ins during the specified week in 2026, and traders can use this information to inform their trading strategies.

This market resolves around Sep 14, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final average number of TSA security check-ins from September 7th to 13th, 2026, as reported by the Transportation Security Administration (TSA), will determine the outcome. Traders holding contracts corresponding to the closest prediction to the actual average will receive a payout, while those holding contracts predicting a different outcome will not. This ensures a transparent and objective resolution process.

Several signals and events could significantly move this market before its resolution. Major economic shifts, such as a recession or a surge in consumer spending, could impact travel demand. Unexpected events like a pandemic resurgence, geopolitical instability, or significant changes in airline pricing could also influence the number of travelers. Additionally, changes in TSA policies or security procedures, or even large-scale events drawing significant crowds, could all contribute to shifts in predictions reflected in this market.