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What will NYC subway average weekday ridership be in October 2026?
kalshi

What will NYC subway average weekday ridership be in October 2026?

Aug 17, 2026, 3:55 PM EST - Feb 8, 2027, 10:00 AM EST
Total volume:
$331,421
Volume 24h:
$14,556
604%
Liquidity:
N/AN/A
Open interest:
$51,331
11%

Above 4.1 million

 - Kalshi

Above 4.1 million - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolves Feb 8, 2027

Will NYC subway average weekday ridership (the mean of the MTA's daily subway ridership figures for every Monday through Friday, holidays included) as published in its Daily Ridership and Traffic series be above 4100000 in October 2026?

99%chance
Amount

$

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Join Kalshi and score $25 for your first trade.At 99¢ buys you 101 shares | Odds: 99% Total Payout: $101 | Net Profit: $1 Multiplier: 1.01x | ROI: 1% | APY: 4% 104 days to resolution
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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Above 4.1 million

Trade
99%
Yes 99¢No 2¢
1¢
N/A
$44,800
0%
3%
$9,424
3mo 2w
active
kalshi

Above 4.2 million

Trade
98%
Yes 98¢No 3¢
1¢
N/A
$59,731
0.84%
7%
$12,555
3mo 2w
active
kalshi

Above 4.3 million

Trade
94%
Yes 95¢No 6¢
1¢
N/A
$24,393
0.08%
0.38%
$5,093
3mo 2w
active
kalshi

Above 4.4 million

Trade
66%
8%
Yes 64¢No 40¢
4¢
N/A
$57,190
9%
20%
$12,436
3mo 2w
active
kalshi

Above 4.5 million

Trade
2%
Yes 2¢No 99¢
1¢
N/A
$145,308
7%
14%
$11,824
3mo 2w
active
Total markets: 5

Description

This event tracks New York City's subway system usage by measuring the average number of riders each weekday in October 2026. The outcome depends on whether the ridership exceeds specific thresholds set by the Metropolitan Transportation Authority. It reflects public transportation trends and commuter behavior over a defined period.

Kalshi

The event resolves based on the New York City subway’s average weekday ridership for October 2026, as reported by the MTA in its Daily Ridership and Traffic series. The average is calculated using the mean of daily subway ridership figures for all Mondays through Fridays in that month, including holidays. Multiple markets correspond to different ridership thresholds (above 4.1 million, above 4.2 million, above 4.3 million, above 4.4 million, and above 4.5 million). The market with the highest threshold that is met resolves as 'Yes,' while all others resolve as 'No.' If none of the thresholds are met, all markets resolve as 'No.'

Frequently asked questions

Currently, odds from this market suggest a particular direction for ridership levels, which may align more or less closely with recent analyst reports. Experts often weigh factors like economic conditions, public policy changes, and transportation infrastructure updates when publishing their forecasts. Traders in this market incorporate these insights alongside real-time data, potentially offering a different perspective than traditional polling or expert prediction averages.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, traders determine prices through continuous bidding and asking, reflecting their collective expectation of average weekday ridership in October 2026. The top outcome’s implied probability is shown as 99.0%, while volume of $331,421 indicates overall market activity. Price fluctuations respond quickly to new ridership data, policy announcements, or broader economic signals.

This market resolves around Feb 8, 2027, with the outcome confirmed once the event is verifiable from credible public reporting. Official transit statistics released by New York City authorities will serve as the reference point, ensuring an objective and transparent determination of the final ridership figure for October 2026.

Several signals could shift expectations in this market before it settles. These include major policy decisions affecting public transit, significant infrastructure projects, changes in urban employment patterns, or unexpected events such as strikes or large-scale public health issues. Each of these factors may cause traders to adjust their bids and asks, thereby moving the market price toward new levels as new information emerges.