Daily Punctuality by State
Updated daily Daily data Data to November 4, 2026 Source dashboard
Data and Resources
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Daily punctuality by State (API table).csvCSV
Every day received so far: each daily file is merged in, so history continues...
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States_Punctuality.xlsxXLSX
API
API name: daily-punctuality-states
First 5 rows · Download all rows: CSV · TSV · JSON · XML
Code examples
curl
curl 'https://polaris.goens.dev/api/3/action/datastore_search?resource_id=daily-punctuality-states&limit=5'
Python
import pandas as pd
df = pd.read_csv('https://polaris.goens.dev/datastore/dump/daily-punctuality-states?format=csv')
R
df <- read.csv('https://polaris.goens.dev/datastore/dump/daily-punctuality-states?format=csv')
API documentation and rate limits
Cite this data
Source: EUROCONTROL Aviation Intelligence Unit. Daily Punctuality by State. https://polaris.goens.dev/dataset/daily-punctuality-states
May be copied in whole or in part, provided that EUROCONTROL is mentioned as the source and it is not used for commercial purposes. Full disclaimer
About this data
Departure (arrival) punctuality is the share of IFR flights departing (arriving) within 15 minutes of the time in the airline schedule. The average schedule delays are the difference between actual off-block (in-block) time and the scheduled time, in minutes. Operated schedules % is the share of airline schedules matched to an operated flight with an ATC flight plan. The schedules come from EUACA and third parties, loaded two days before the flight is due to operate.
Data sources
- Published by
- EUROCONTROL Aviation Intelligence Unit
- Underlying data
- Network Manager; airline schedules from EUACA and third parties
The table view shows where each column comes from, under Data Dictionary.
Additional Info
| Field | Value |
|---|---|
| Update frequency | Daily |
| Time resolution | Daily |
| Data from | 2022-01-01 |
| Data to | 2026-11-04 |
| Data description | |
| Methodology | |
| Source page | https://www.eurocontrol.int/Economics/DailyPunctuality-States.html |