
$31.80K
1
6

$31.80K
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 16, 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 the total number of passengers screened by the Transportation Security Administration (TSA) on January 16, 2026. The TSA, a component of the U.S. Department of Homeland Security, screens all commercial airline passengers and their baggage at over 430 federalized airports across the United States. The daily throughput figure is a critical real-time indicator of air travel demand, economic activity, and consumer confidence. The specific date of January 16 falls on a Friday, which is typically a high-volume travel day as it marks the beginning of a weekend, though its position relative to holidays like Martin Luther King Jr. Day (observed on January 19, 2026) will significantly influence travel patterns. The resolution of this market depends on the official data published by the TSA, which is typically released with a one-day lag and is considered a highly reliable government statistic. Interest in this metric extends beyond aviation analysts to economists, policymakers, and investors who use it as a leading indicator for broader economic health and recovery trends, particularly in the post-pandemic era where travel patterns have shown increased volatility and new seasonal norms.
The systematic public reporting of TSA passenger throughput began in earnest following the agency's creation in November 2001 in response to the 9/11 attacks. For over a decade, daily figures showed steady growth, consistently breaking records year-over-year, reflecting the expansion of commercial air travel. This pattern was violently disrupted by the COVID-19 pandemic in March 2020, when passenger volumes plummeted to historic lows, at times below 5% of 2019 levels. The recovery has been uneven and transformative. 2022 and 2023 saw volumes return to and eventually surpass 2019 pre-pandemic benchmarks, but with altered seasonal patterns and peak days that frequently set new all-time records, such as the Sunday after Thanksgiving. The date of January 16 itself has historical precedent. In 2020, it screened approximately 2.3 million passengers. In 2024, January 16 was a Tuesday and saw about 2.1 million passengers, demonstrating how the day of the week and proximity to holidays create significant annual variance. This historical volatility makes single-day predictions a complex challenge, influenced by macroeconomic conditions, airline pricing, and evolving remote work policies.
The TSA passenger count is far more than an aviation statistic. It serves as a high-frequency, real-time proxy for U.S. consumer confidence and discretionary spending. A strong travel day indicates that households feel financially secure enough to spend on non-essential services like leisure travel and tourism, which has massive downstream effects on hotels, restaurants, rental car companies, and destination economies. Politically, robust travel numbers can be cited as evidence of a strong economy, while sustained weakness may trigger scrutiny of economic policies. For the aviation industry itself, these numbers directly dictate operational requirements, staffing needs at airports and airlines, and revenue projections. A significant miss versus forecasts can lead to airline stock volatility. Furthermore, sustained high volumes test the resilience of the national airspace system, with implications for flight delays, cancellations, and public satisfaction with transportation infrastructure, often becoming a topic of congressional oversight.
As of late 2024 and early 2025, TSA throughput has fully recovered to pre-pandemic levels on an annual basis, but daily and weekly patterns remain more concentrated and peak-heavy. The industry and analysts are closely watching for signs of demand normalization or saturation. Economic factors like inflation, consumer debt, and potential economic softening are seen as the primary variables that could impact travel demand heading into 2026. The TSA continues to publish daily data on its official website, and airlines have generally reported strong forward bookings for early 2025, suggesting sustained demand in the near term.
The TSA publishes official daily passenger throughput data on its public-facing website, typically updated by midday Eastern Time for the previous day's figures. The data is presented in a simple table format showing the current day versus the same day in 2019 and 2020.
Key factors include the day of the week (Fridays, Sundays, and Mondays are typically busiest), proximity to major holidays, school vacation schedules, airline fare sales, broader economic conditions affecting discretionary spending, and significant weather events that cause widespread flight cancellations.
The data is considered highly accurate as it is generated directly from the agency's operational systems at every checkpoint nationwide. It represents a physical count of individuals screened, making it a reliable census of air travel activity, though minor revisions can occasionally occur.
Yes, the TSA throughput number includes all passengers screened at TSA checkpoints in U.S. airports, regardless of whether they are traveling on domestic or international flights. The count is based on the security screening event, not the flight's final destination.
TSA numbers measure actual travel, while airline sales measure intent to travel. There is a strong correlation, but the figures can diverge due to last-minute cancellations, no-shows, or passengers booked on multiple flights. TSA data is often viewed as the definitive measure of realized demand.
Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.
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