13,000
Peak workers
On-site at morning rush — not counted by residential census.
Flow #02 · Airport · LaGuardia, NY
13,000 workers. The census sees zero.
Watch an airport workforce arrive, peak, and leave — building by building, hour by hour.
≈ 0
Census sees
LaGuardia is not a residential zone. It simply doesn't exist in the data.
4× shift
Daily swing
From 2,800 pre-dawn to 13,200 at peak — same airport, different city.
Most data only knows the past · 168 knows the pattern
168 runs both ways.
Backward, for measurement. Forward, for planning.
LaGuardia Airport · simulated workforce flow by hour · LODES-grade signal
The daily arc
Same airport. Different city.
5 AM · Pre-dawn
2,800
Crew, security, ground ops
8 AM · Morning rush
13,200
Peak — all terminals full
1 PM · Midday
11,400
Shift overlap, retail peak
6 PM · Evening exodus
9,600
Departures surge, inbound drops
Your data + ours
Three places where airport workforce
becomes a decision.
01Real estate & retail
See who's actually there at 8 AM
“Your foot traffic model shows the terminal at midnight.”
Workforce density by hour, industry, and income — anchored to the block. Not the zip code. Not a daily average.
02Mobility & transit
Plan for the real commute window
“Your demand model peaks at 9 AM. The airport peaks at 5 AM.”
Pre-dawn arrivals, shift-change surges, evening exodus. Inbound and outbound signal by hour — not a symmetric daily curve.
03Operations & staffing
Match staffing to the workforce, not the schedule
“You staff for flights. We staff for people.”
Ground crew, retail, food service, security — different industries peak at different hours. We see each one.
Bring your data.
We bring the where and the when.