TOTAL VOLUME:

$134.1b

24H VOL:

$133,388,117

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,436,095,462

405,232

Markets across

30,526

events

MATCHED EVENTS:

2,693

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Economics
Airport passengers on Apr 28, 2026
kalshi

Airport passengers on Apr 28, 2026

Volume:
$15,034

Above 2070000

 - Kalshi

Above 2070000 - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Apr 30, 2026

Closed: May 5, 11:59 PM EST

kalshi

Kalshi

View
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 2070000

View
0%
Yes 0¢No 100¢
—
N/A
$2,817
N/A
N/A
$1,529
Settled
No
kalshi

Above 3370000

0%
Yes 0¢No 100¢
—
N/A
$1,443
N/A
N/A
$1,443
Settled
No
kalshi

Above 3070000

0%
Yes 0¢No 100¢
—
N/A
$1,414
N/A
N/A
$1,414
Settled
No
kalshi

Above 2770000

0%
Yes 0¢No 100¢
—
N/A
$1,266
N/A
N/A
$666
Settled
No
kalshi

Above 2970000

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

Above 3170000

0%
Yes 0¢No 100¢
—
N/A
$1,188
N/A
N/A
$1,188
Settled
No
kalshi

Above 2670000

0%
Yes 0¢No 100¢
—
N/A
$983
N/A
N/A
$888
Settled
No
kalshi

Above 2570000

0%
Yes 0¢No 100¢
—
N/A
$966
N/A
N/A
$744
Settled
No
kalshi

Above 2170000

0%
Yes 0¢No 100¢
—
N/A
$845
N/A
N/A
$664
Settled
No
kalshi

Above 2470000

0%
Yes 0¢No 100¢
—
N/A
$766
N/A
N/A
$680
Settled
No
kalshi

Above 2870000

0%
Yes 0¢No 100¢
—
N/A
$643
N/A
N/A
$643
Settled
No
kalshi

Above 3470000

0%
Yes 0¢No 100¢
—
N/A
$636
N/A
N/A
$636
Settled
No
kalshi

Above 2270000

0%
Yes 0¢No 100¢
—
N/A
$589
N/A
N/A
$528
Settled
No
kalshi

Above 2370000

0%
Yes 0¢No 100¢
—
N/A
$184
N/A
N/A
$153
Settled
No
kalshi

Above 3270000

0%
Yes 0¢No 100¢
—
N/A
$104
N/A
N/A
$55
Settled
No
Total markets: 15

Description

This event tracks the number of airport passengers screened on April 28, 2026, measuring air travel volume on a specific date. The market creates multiple resolution thresholds at increasingly higher passenger volume levels to capture granular predictions about travel demand on that day.