[OC] Monthly Arrivals 2000 to May 2025 (USA) Visualization
![[OC] Monthly Arrivals 2000 to May 2025 (USA) Visualization](/api/images/reddit-maps/1mw5m1z_1755770401198.jpg)
Data Analysis
What This Visualization Shows
This data visualization displays "[OC] Monthly Arrivals 2000 to May 2025 (USA)" and provides a clear visual representation of the underlying data patterns and trends. The visualization focuses on So someone posted about travel flying data in the US for 3 years (2023-2025) and that post's OP and other commenters were trying to understand if we are getting less visitors. That original post seemed to show that some places were affected but overall inconclusive. [https://www.reddit.com/r/dataisbeautiful/comments/1mw11pe/oc\_nonus\_citizens\_flying\_to\_the\_us\_from\_2023mid/](https://www.reddit.com/r/dataisbeautiful/comments/1mw11pe/oc_nonus_citizens_flying_to_the_us_from_2023mid/) There was a request if more data was available.
The data above is all visitors to USA (land and sea) based on country of residence, data from [https://www.trade.gov/i-94-arrivals-program](https://www.trade.gov/i-94-arrivals-program) and graphed via excel. With this longer timeline, I believe this trend is showing a decline or slowdown in foreign visitors. Shown in the graph the effect of the pandemic on travel and the recovery. Added in the graph is a 12 month moving average trendline.
The current messaging from the administration is definitely not a welcoming vibe for travelers. Together with increasing prices, problems at Customs/Immigration and political uncertainty globally, it can definitely put a chilling effect on travel.
Visitors from Mexico is +13.9% year over year, from Canada is -16.8% and from overseas is -0.8%. (This statistic is from the linked page). One might ask, its such a small change from last year, why are people making a big fuss? Well, businesses expect year over year increases in profits to keep up with inflation.
Let's combine this with the income information below. Data from [https://www.trade.gov/survey-international-air-travelers-siat](https://www.trade.gov/survey-international-air-travelers-siat) shows that: The median annual household income of air travelers from Mexico in 2024 is $35.9k ($68.5k mean). The median annual household income of air travelers from Canada in 2024 is $105.4k ($127.1k mean). The median annual household income of land travelers from Mexico in 2024 is $21.3k ($46.9k mean). The median annual household income of land travelers from Canada in 2024 is $78.5k ($91.8k mean). The median annual household income of travelers from overseas in 2024 is $63.1k ($88.3k mean).
What we can infer from the household income from above is that Canadian travelers have more spending power when they are travelling to the USA compared to Mexican travelers. So while we have an increase in travel from Mexico, the decrease in Canadian travelers have a larger economic impact. There is a lot of good data published from [trade.gov](http://trade.gov/) and someone can run a deeper analysis in the future on which states may be more impacted based on visitor data.
I've heard of reporting from Florida where their tourism heavily relies on Canadian travel during the winter months are expecting a rough time next season. This last season, it was likely too late for many to cancel plans. I have personal experience of friends and family refusing or delaying travel from Canada because of the current political climate., which allows us to understand complex relationships and insights within the data through visual storytelling.
Deep Dive into the Topic
This data visualization represents a sophisticated analysis of complex information patterns that provide valuable insights into underlying trends and relationships. Data visualization serves as a bridge between raw numerical data and human understanding, transforming abstract statistics into comprehensible visual narratives.
The power of data visualization lies in its ability to reveal patterns, outliers, and correlations that might not be apparent in traditional tabular formats. Through careful selection of chart types, color schemes, and interactive elements, effective visualizations can communicate complex information quickly and accurately to diverse audiences.
Modern data visualization combines statistical analysis with design principles to create compelling visual stories. This interdisciplinary approach requires understanding both the underlying data and the cognitive processes involved in visual perception. The result is more effective communication of quantitative insights that can inform decision-making and drive positive change.
Data Analysis and Insights
The patterns revealed in this visualization demonstrate the importance of systematic data analysis in understanding complex phenomena. By examining different data segments, time periods, and categorical breakdowns, we can identify trends that inform strategic planning and decision-making processes.
Statistical analysis of this data reveals variations across different dimensions that provide insights into underlying drivers and relationships. These patterns help identify areas of opportunity, potential risks, and key performance indicators that can guide future actions and resource allocation.
The analytical approach used in this visualization enables comparison across different categories, time periods, or geographic regions, revealing insights that support evidence-based decision-making. This type of analysis is essential for organizations seeking to optimize performance and understand complex market dynamics.
Significance and Applications
This data visualization has important implications for understanding trends and patterns that affect decision-making across multiple sectors. The insights derived from this analysis can inform policy development, business strategy, resource allocation, and operational improvements.
For analysts, researchers, and decision-makers, this type of data visualization provides essential insights for strategic planning and performance optimization. Whether addressing operational challenges, market analysis, or policy development, understanding data patterns helps create more effective strategies and solutions.
The broader significance lies in how this information contributes to our understanding of complex systems and relationships. This knowledge helps predict future trends, identify potential challenges, and develop more informed approaches to problem-solving and opportunity identification.
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About the Author

Alex Cartwright
Senior Data Visualization Expert
Alex Cartwright is a renowned data visualization specialist and infographic designer with over 15 years of experience in...