
$2.86K
1
6

$2.86K
1
6
Trader mode: Actionable analysis for identifying opportunities and edge
This market will resolve to the total number of TSA passengers reported on January 19, 2026. If the reported total number of TSA passengers falls exactly between two brackets, then this market will resolve to the higher range bracket. This market will resolve as soon as throughput data becomes available for the listed date. Any revisions published to data for dates December 1, 2025 and onward prior to the release of data for all dates within the listed range will be considered. If data is no
AI-generated analysis based on market data. Not financial advice.
This prediction market focuses on forecasting the total number of passengers screened by the Transportation Security Administration (TSA) on a specific future date, January 19, 2026. The TSA, a component of the U.S. Department of Homeland Security, screens all commercial airline passengers at U.S. airports. Its daily throughput data serves as a critical, real-time indicator of domestic air travel volume, consumer confidence, and broader economic activity. The reported figure for January 19 will represent the sum of passengers processed at all TSA checkpoints nationwide on that single day. This specific date falls on a Monday, following the Martin Luther King Jr. holiday weekend in 2026, making it a point of interest for observing post-holiday travel patterns and the early-year business travel rebound. Prediction markets on this metric allow participants to aggregate collective intelligence on factors influencing travel, including economic forecasts, potential health advisories, airline capacity planning, and seasonal trends. The resolution mechanism specifies that if the reported number falls exactly between two predefined brackets, the market resolves to the higher range, adding a layer of strategic consideration for traders. Interest in this market stems from its function as a high-frequency proxy for the health of the aviation and tourism sectors, with implications for airline stocks, airport revenue, and economic forecasting models.
The TSA was created in November 2001 in response to the 9/11 terrorist attacks, centralizing passenger and baggage screening under federal authority. The agency began publicly reporting daily checkpoint travel numbers in a consistent format around 2015, providing a valuable dataset for analysts. Historically, passenger volumes follow strong seasonal patterns, with peaks around summer holidays and Thanksgiving, and troughs in early January and February. The COVID-19 pandemic caused an unprecedented collapse in air travel, with TSA throughput hitting a low of 87,534 passengers on April 14, 2020, compared to over 2.5 million on the same date in 2019. The recovery from this shock has been a central narrative since 2021. For context, January travel is typically among the lowest of the year. In January 2024, the average daily throughput was approximately 2.2 million passengers. The specific date of January 19 has historically been a moderate travel day. In 2024, January 19 (a Friday) saw 2,242,779 passengers. In 2023, January 19 (a Thursday) saw 1,960,161 passengers. The 2026 date's position after a holiday weekend makes historical comparisons to similar post-holiday Mondays crucial for forecasting.
The TSA passenger count is far more than just a travel statistic. It is a leading, high-frequency economic indicator. Each passenger screened represents consumer spending on airfare, which feeds directly into airline revenues, airport concession sales, and the broader tourism and hospitality industries. Significant deviations from forecasted volumes can trigger volatility in airline and travel-related stocks. For policymakers, sustained trends in these numbers inform decisions on infrastructure funding, aviation taxes, and transportation policy. For businesses, the data helps in planning corporate travel budgets, conference scheduling, and supply chain logistics that rely on air cargo capacity, which is often tied to passenger flight schedules. A consistently high or growing throughput signals robust consumer confidence and economic mobility, while stagnation or decline can be an early warning sign of softening demand or external shocks affecting discretionary spending. The specific resolution of this prediction market contributes to the collective understanding of these complex economic interrelationships.
As of late 2024, U.S. air travel demand has remained robust, consistently meeting or exceeding 2019 levels on a volume basis. Airlines have reported strong earnings, citing sustained leisure demand and a gradual return of corporate and international travel. The TSA continues to deploy technologies like Credential Authentication Technology (CAT) and Computed Tomography (CT) scanners at checkpoints, which can slightly affect processing speeds. Looking ahead to 2026, major airlines have expressed cautious optimism in their long-range planning, with capacity growth forecasts typically in the low single-digit percentages annually. The primary variables for January 2026 volumes will be the macroeconomic environment, jet fuel prices, and any unforeseen global events.
The TSA publishes its daily throughput data on its official website under a dedicated 'TSA Checkpoint Travel Numbers' page. The data is typically updated each morning with the previous day's figures and includes a running year-to-date total and a comparison to the same day in 2019.
TSA checkpoints are typically busiest during the morning hours, from approximately 5:00 a.m. to 9:00 a.m. local time, as this coincides with the first wave of daily departures. Late afternoon and early evening can also see significant queues due to peak business travel times.
Yes, the TSA's daily passenger count includes all individuals screened at TSA checkpoints, regardless of whether they are traveling on domestic or international itineraries. The count represents the total volume of people entering the sterile area of U.S. airports.
The TSA data is considered highly accurate as it is generated directly from operational systems that count each passenger successfully screened. It is the official government statistic for this metric and is used by economists, airlines, and federal agencies for analysis and planning.
The lowest TSA passenger count on record is 87,534, recorded on April 14, 2020, at the height of the initial COVID-19 lockdowns and travel restrictions. This was a 96% drop from the same day in the previous year.
Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.
Share your predictions and analysis with other traders. Coming soon!
6 markets tracked

No data available
| Market | Platform | Price |
|---|---|---|
![]() | Poly | 47% |
![]() | Poly | 25% |
![]() | Poly | 25% |
![]() | Poly | 15% |
![]() | Poly | 12% |
![]() | Poly | 10% |





No related news found
Add this market to your website
<iframe src="https://predictpedia.com/embed/LIm7MQ" width="400" height="160" frameborder="0" style="border-radius: 8px; max-width: 100%;" title="Number of TSA Passengers January 19?"></iframe>