Sourced developments at US airports: what the FAA reports at every airport, and what we measure and our model forecasts at the busiest ones.
Live · checked FAA national advisories 4 minFAA NAS status 2 minForecast cycle 1 hLightning 1 minWeather observations 5 minFAA surface data 3 minFAA flight data 2 min
Of 13 departures that took off between 11:23 AM and 12:23 PM CST, 11 left at least 15 minutes late. Austin typically sees 19% of departures in this hour leave that late (US DOT on-time data, last 12 published months, departures in the 11 AM hour). Measured by Tailodds from FAA flight data against airline schedules.
What changed: 62% → 75% since the 7:00 AM CST forecast (model changed)
Tailodds’ model gives the 20 departures scheduled from Austin 6–9 PM Saturday an average 75% chance of leaving 15+ minutes late. With calm weather the same flights would average 26%. From the 11:00 AM CST forecast (model famB-sd-v4i). The model changed since the previous item (from famA-fc-v3+famB-sd-v4i), so some or all of this change comes from the new model rather than new information. This is a forecast, not a report of delays.
Probability 75%Horizon 6.1 hModel famB-sd-v4iModel changed
What changed: 68% → 83% since the 8:00 AM CST forecast (same model, same window)
Tailodds’ model gives the 44 departures scheduled from Austin 3–6 PM Saturday an average 83% chance of leaving 15+ minutes late. With calm weather the same flights would average 30%. From the 11:00 AM CST forecast (model famB-sd-v4i). This is a forecast, not a report of delays.
What changed: 70% → 81% since the 7:00 AM CST forecast (same model, same window)
Tailodds’ model gives the 57 departures scheduled from Austin noon–3 PM Saturday an average 81% chance of leaving 15+ minutes late. With calm weather the same flights would average 26%. From the 11:00 AM CST forecast (model famB-sd-v4i). This is a forecast, not a report of delays.
What changed: 44% → 59% since the 5:00 AM CST forecast (same model, same window)
Tailodds’ model gives the 33 departures scheduled from Austin 9 AM–noon Saturday an average 59% chance of leaving 15+ minutes late. With calm weather the same flights would average 12%. From the 6:00 AM CST forecast (model famB-sd-v4i). This is a forecast, not a report of delays.
Tailodds’ model gives the 33 departures scheduled from Austin 9 AM–noon Saturday an average 30% chance of leaving 15+ minutes late. With calm weather the same flights would average 13%. From the 3:00 AM CST forecast (model famB-sd-v4i). This is a forecast, not a report of delays.
Tailodds’ model gives the 32 departures scheduled from Austin 9 AM–noon Saturday an average 30% chance of leaving 15+ minutes late. With calm weather the same flights would average 13%. From the 1:00 AM CST forecast (model famB-sd-v4i). This is a forecast, not a report of delays.
Tailodds’ model gives the 56 departures scheduled from Austin 6–9 AM Saturday an average 31% chance of leaving 15+ minutes late. With calm weather the same flights would average 8%. From the 12:00 AM CST forecast (model famB-sd-v4i). This is a forecast, not a report of delays.
Tailodds’ model gives the 15 departures scheduled from Austin 9 PM–midnight Friday an average 84% chance of leaving 15+ minutes late. With calm weather the same flights would average 41%. From the 5:00 PM CST forecast (model famB-sd-v4i). This is a forecast, not a report of delays.
What changed: 67% → 88% since the 1:00 PM CST forecast (same model, same window)
Tailodds’ model gives the 49 departures scheduled from Austin 6–9 PM Friday an average 88% chance of leaving 15+ minutes late. With calm weather the same flights would average 35%. From the 3:00 PM CST forecast (model famB-sd-v4i). This is a forecast, not a report of delays.
What changed: 49% → 65% since the 7:00 AM CST forecast (same model, same window)
Tailodds’ model gives the 65 departures scheduled from Austin 3–6 PM Friday an average 65% chance of leaving 15+ minutes late. With calm weather the same flights would average 40%. From the 1:00 PM CST forecast (model famB-sd-v4i). This is a forecast, not a report of delays.
Of 19 departures that took off between 12:50 PM and 1:50 PM CST, 14 left at least 15 minutes late. Austin typically sees 27% of departures in this hour leave that late (US DOT on-time data, last 12 published months, departures in the 1 PM hour). Measured by Tailodds from FAA flight data against airline schedules.
Tailodds’ model gives the 68 departures scheduled from Austin noon–3 PM Friday an average 36% chance of leaving 15+ minutes late. With calm weather the same flights would average 30%. From the 11:00 AM CST forecast (model famB-sd-v4i). This is a forecast, not a report of delays.
Of 15 departures that took off between 10:45 AM and 11:45 AM CST, 1 left at least 15 minutes late. Austin typically sees 19% of departures in this hour leave that late (US DOT on-time data, last 12 published months, departures in the 11 AM hour). Measured by Tailodds from FAA flight data against airline schedules. The late share has stayed at or below 29% for 31 minutes across 16 checks, each with at least 12 flights and current data.
Window 10:45 AM–11:45 AM CSTSample 15 flightsLate 7%Typical 19%
Of 19 departures that took off between 4:34 PM and 5:34 PM CST, 13 left at least 15 minutes late. Austin typically sees 38% of departures in this hour leave that late (US DOT on-time data, last 12 published months, departures in the 5 PM hour). Measured by Tailodds from FAA flight data against airline schedules.
Of 12 departures that took off between 8:29 AM and 9:29 AM CST, 1 left at least 15 minutes late. Austin typically sees 12% of departures in this hour leave that late (US DOT on-time data, last 12 published months, departures in the 8 AM hour). Measured by Tailodds from FAA flight data against airline schedules. The late share has stayed at or below 22% for 31 minutes across 16 checks, each with at least 12 flights and current data.
Window 8:29 AM–9:29 AM CSTSample 12 flightsLate 8%Typical 12%
Of 13 departures that took off between 8:21 PM and 9:21 PM CST, 11 left at least 15 minutes late. Austin typically sees 42% of departures in this hour leave that late (US DOT on-time data, last 12 published months, departures in the 8 PM hour). Measured by Tailodds from FAA flight data against airline schedules.
Of 14 arrivals that landed between 4:36 PM and 5:36 PM CST, 2 reached the gate at least 15 minutes late. Typically 22% of arrivals at Austin arrive that late (US DOT on-time data, last 12 published months, all arrivals). Measured by Tailodds from FAA flight data against airline schedules. The late share has stayed at or below 30% for 31 minutes across 16 checks, each with at least 12 flights and current data.
What changed: 44% → 58% since the 6:00 AM CST forecast (model changed)
Tailodds’ model gives the 50 departures scheduled from Austin 6–9 PM Monday an average 58% chance of leaving 15+ minutes late. With calm weather the same flights would average 35%. From the 4:00 PM CST forecast (model famB-sd-v4i). The model changed since the previous item (from famA-fc-v3+famB-sd-v4i), so some or all of this change comes from the new model rather than new information. This is a forecast, not a report of delays.
Probability 58%Horizon 1.1 hModel famB-sd-v4iModel changed
What changed: 44% → 55% since the 3:00 AM CST forecast (model changed)
Tailodds’ model gives the 65 departures scheduled from Austin 3–6 PM Monday an average 55% chance of leaving 15+ minutes late. With calm weather the same flights would average 34%. From the 2:00 PM CST forecast (model famB-sd-v4i). The model changed since the previous item (from famA-fc-v3+famB-sd-v4i), so some or all of this change comes from the new model rather than new information. This is a forecast, not a report of delays.
Probability 55%Horizon 0.0 hModel famB-sd-v4iModel changed
Tailodds’ model gives the 63 departures scheduled from Austin noon–3 PM Monday an average 43% chance of leaving 15+ minutes late. With calm weather the same flights would average 22%. From the 1:00 AM CST forecast (model famA-fc-v3+famB-sd-v4i). This is a forecast, not a report of delays.
Probability 43%Horizon 9.5 hModel famA-fc-v3+famB-sd-v4i
Of 17 arrivals that landed between 9:21 PM and 10:21 PM CST, 4 reached the gate at least 15 minutes late. Typically 22% of arrivals at Austin arrive that late (US DOT on-time data, last 12 published months, all arrivals). Measured by Tailodds from FAA flight data against airline schedules. The late share has stayed at or below 30% for 31 minutes across 16 checks, each with at least 12 flights and current data.
What changed: 61% → 73% since the 4:00 PM CST forecast (same model, same window)
Tailodds’ model gives the 48 departures scheduled from Austin 6–9 PM Sunday an average 73% chance of leaving 15+ minutes late. With calm weather the same flights would average 41%. From the 5:00 PM CST forecast (model famB-sd-v4i). This is a forecast, not a report of delays.
Of 15 departures that took off between 4:06 PM and 5:06 PM CST, 13 left at least 15 minutes late. Austin typically sees 37% of departures in this hour leave that late (US DOT on-time data, last 12 published months, departures in the 4 PM hour). Measured by Tailodds from FAA flight data against airline schedules.
What changed: 50% → 62% since the 4:00 AM CST forecast (model changed)
Tailodds’ model gives the 58 departures scheduled from Austin 3–6 PM Sunday an average 62% chance of leaving 15+ minutes late. With calm weather the same flights would average 39%. From the 2:00 PM CST forecast (model famB-sd-v4i). The model changed since the previous item (from famA-fc-v3+famB-sd-v4i), so some or all of this change comes from the new model rather than new information. This is a forecast, not a report of delays.
Probability 62%Horizon 0.1 hModel famB-sd-v4iModel changed
Older items
Each item is the latest update matching your filters; the event’s current status is on its chip. All updates shows the full chronological wire.
Confirmed
An official source (the FAA) reports it. We attribute it; we don’t independently verify it.
Observed
We measured it from FAA flight data: window, sample size and the typical level are on the item.
Forecast
Our model predicts it, with its probability, target, horizon and model version. It has not happened. How accurate is it?