Texas OD & Catchment Console
Airport origin-destination, catchment, and leakage intelligence
A working analysis tool built from anonymized mobile device mobility data, tracking where airport visitors
live, which airports compete for the same travelers, and how much shared traffic exists between airports
across the Texas–New Mexico–northern Mexico region.
Catchment
For any tracked airport: where its travelers actually live, county by county, plus state and country
breakdowns. Answers "who is this airport actually serving?"
Leakage
Which airport actually wins each county's traffic, where that competes with a neighboring airport, and
where people bypass their geographically nearest airport entirely. Answers "who are we losing travelers to,
and where?"
Destinations
Shared traveler volume between airports — an interactive connection map showing which airports' traveler
populations overlap, and by how much. Answers "where else do our travelers show up?"
Scope
ELP
ABQ
AMA
LBB
MAF
DAL
DFW
AUS
SAT
IAH
HOU
CRP
HRL
MFE
CJS
15 airports tracked: 13 in Texas, Albuquerque International Sunport (NM), and Abraham González
International (Ciudad Juárez, MX). Data updates by quarter as new extracts are processed — coverage
currently spans 2018 through the present for El Paso, and 2024 onward for the other 14.
How to read this data
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It's a sample, not a census. Every figure is a share of the observed device panel for that period, not a count of actual passengers. Panel size varies quarter to quarter, so raw counts aren't directly comparable across time — use the indexed trend views for that.
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Two different data sources feed the Destinations tab, and they answer different questions. Ping-level trajectory data can show true direction (a device left airport A, later appeared at airport B). The cross-visit device-count matrix — used for most quarters — can only show that a device was seen at both airports sometime in the same period, with no way to know which came first. The tool labels these differently on purpose; "co-visited" never implies a flight sequence.
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"Nearest airport" is pure geography, computed independently of any device data — straight-line distance from a county's center to each airport. When it disagrees with which airport a county's data actually favors, that's a real signal, not a data error.