# Flight Delay | Real-Time Flight Delay Monitoring [![image.png](https://wiki.niamonx.io/uploads/images/gallery/2026-06/scaled-1680-/BdDKXTvV1UB4Lotq-image.png)](https://wiki.niamonx.io/uploads/images/gallery/2026-06/BdDKXTvV1UB4Lotq-image.png) The platform available at **[https://dash.niamonx.io/flight\_delay](https://dash.niamonx.io/flight_delay)** β€” known as **Flight Delay** β€” is a real-time aviation delay monitoring tool within the NiamonX platform. It allows users to track delayed departures and arrivals worldwide, filter results by airport, airline, flight number, status, and minimum delay threshold, and export delay intelligence for operational analysis. ## Overview of the Service **Flight Delay** is designed to help users monitor current flight disruptions in real time. The tool provides a structured view of delayed flights and allows users to focus on departures, arrivals, specific airports, airlines, routes, or individual flight numbers. Unlike general flight search, which focuses on one flight, and flight schedules, which shows a broader airport queue, Flight Delay is optimized for disruption monitoring. It highlights flights affected by delay conditions and helps analysts quickly identify where operational problems are occurring. The tool is useful for: - Airport operations monitoring - Airline disruption analysis - Passenger coordination - Logistics and cargo planning - Corporate travel monitoring - Aviation OSINT - Executive protection workflows - Incident response support - Travel risk monitoring - Delay trend analysis Results reflect current operations and should be treated as operational intelligence that may change quickly. --- ## πŸ” How the Tool Works The user selects whether they want to monitor **Departures** or **Arrivals**, sets a minimum delay threshold, and optionally adds filters such as airport, airline, flight number, or status. The system then searches real-time delay data and returns matching flights in a structured table. Example search configuration: ```text Type: Departures Min delay: 60 minutes Status: Any ``` The result table may include flights from many airports and airlines when no specific airport filter is applied. When airport, airline, or flight filters are added, the output becomes more focused. The tool supports multi-criteria filtering, so users can combine several conditions for precise monitoring. Example combinations: ```text Departures Minimum delay: 60 minutes Departure IATA: MIA Airline IATA: AA ``` ```text Arrivals Minimum delay: 30 minutes Arrival IATA: JFK Status: active ``` ```text Departures Flight number: 2421 Minimum delay: 30 minutes ``` --- ## 🧩 What Can Be Monitored Flight Delay can monitor delayed flights using several types of filters. Supported monitoring dimensions: - Departure delays - Arrival delays - Departure airport - Arrival airport - Airline - Flight IATA code - Flight ICAO code - Numeric flight number - Operational status - Minimum delay threshold This allows users to monitor delays globally or narrow the view to a specific route, airline, airport, or flight. --- ## βš™οΈ Filter Interface The Flight Delay interface contains a set of filter controls. ### Type The user selects the delay type to monitor. Available modes: - Departures - Arrivals **Departures** focuses on delayed outbound flights. **Arrivals** focuses on delayed inbound flights. --- ### Min Delay The minimum delay threshold determines which flights appear in the results. Example: ```text Min delay: 60 ``` This means only flights with a delay greater than or equal to 60 minutes should be returned. The interface may also show quick helper text such as: ```text β‰₯ 30 minutes ``` Common threshold examples:
ThresholdUse Case
15 minutesMinor delay monitoring
30 minutesStandard disruption monitoring
60 minutesSignificant delay monitoring
90 minutesSerious operational disruption
120+ minutesMajor delay review
A higher threshold produces fewer but more severe results. --- ### Departure IATA Filters results by departure airport using a three-letter IATA airport code. Example: ```text MIA ``` Use this when monitoring delays for flights departing from a specific airport. --- ### Departure ICAO Filters results by departure airport using a four-letter ICAO airport code. Example: ```text KMIA ``` ICAO codes are useful when IATA codes are ambiguous or when working with aviation-specific systems. --- ### Arrival IATA Filters results by arrival airport using a three-letter IATA airport code. Example: ```text SFO ``` Use this when monitoring delayed flights arriving at a specific airport. --- ### Arrival ICAO Filters results by arrival airport using a four-letter ICAO airport code. Example: ```text KSFO ``` --- ### Airline IATA Filters results by airline using one or more IATA airline codes. Example: ```text AA,BA ``` Comma-separated values are allowed, which makes it possible to monitor several airlines in one query. --- ### Airline ICAO Filters results by airline using one or more ICAO airline codes. Example: ```text AAL,BAW ``` This is useful for aviation analysts who work with ICAO identifiers. --- ### Flight IATA Filters results by a full IATA-style flight code. Example: ```text AA2421 ``` --- ### Flight ICAO Filters results by a full ICAO-style flight code. Example: ```text AAL2421 ``` --- ### Flight Number Filters results by the numeric flight number only. Example: ```text 2421 ``` This can be useful when the airline code is uncertain or when comparing codeshare flights. --- ### Status Filter Filters flights by operational status. Default value: ```text Any ``` Possible status values may include: - Any - Active - Scheduled - Landed - Cancelled - Delayed - Unknown The exact returned statuses depend on the backend aviation data source. --- ## πŸ“Š Delay Results Summary After a search is completed, the tool displays a summary of the returned delay data. The summary may include: - Search type - Minimum delay threshold - Departure airports represented in the result set - Arrival airports represented in the result set - Query timestamp - Number of returned results - Maximum delay - Number of airlines Example summary structure: ```text DEPARTURES, β‰₯ 60 min Results: 100 Max delay: 1000 min Airlines: 52 ``` This summary helps users quickly understand the scale of current delays and whether the result set is broad or focused. --- ## πŸ“‹ Results Table The results table displays delayed flights in a compact operational format. Typical columns include:
ColumnDescription
FlightFlight code
AirlineAirline IATA code
RouteDeparture and arrival airport
StatusCurrent operational status
Departure timeScheduled or updated departure time
Arrival timeScheduled or updated arrival time
Departure terminal / gateDeparture terminal and gate, if available
Arrival terminal / gateArrival terminal and gate, if available
DurationFlight duration or scheduled travel time in minutes
Departure delayDeparture delay in minutes
Arrival delayArrival delay in minutes
Example row format: ```text AA5395 AA SDF β†’ CLT landed 2026-06-17 16:00 2026-06-17 17:37 B2 E43 102 102 95 ``` The table is designed for fast scanning, sorting, and export. --- ## πŸ›« Departure Delay Monitoring When the type is set to **Departures**, the tool focuses on delayed outbound flights. This mode is useful for: - Monitoring airport departure disruptions - Tracking delayed outbound routes - Checking departure gate impact - Identifying airlines with active delays - Reviewing large airport disruption events - Supporting passenger and crew coordination - Exporting delayed departure lists Example use case: ```text Show all departures delayed by at least 60 minutes. ``` With additional filters: ```text Show all MIA departures delayed by at least 60 minutes. ``` --- ## πŸ›¬ Arrival Delay Monitoring When the type is set to **Arrivals**, the tool focuses on delayed inbound flights. This mode is useful for: - Passenger pickup planning - Airport arrival flow monitoring - Destination airport disruption analysis - Ground transport coordination - Hotel and transfer planning - Executive arrival monitoring - Cargo receiving workflows Example use case: ```text Show all arrivals into JFK delayed by at least 30 minutes. ``` --- ## 🏒 Airline Delay Filtering The tool supports airline-based filtering using IATA or ICAO airline codes. This is useful for identifying whether delays are concentrated around a specific carrier. Example: ```text Airline IATA: AA,BA,DL ``` Airline filtering can help with: - Airline operations monitoring - Codeshare delay analysis - Corporate travel risk review - Carrier performance checks - Disruption response - Customer support workflows Because codeshares may appear as multiple flight numbers for the same physical flight, analysts should review rows with identical routes, times, gates, and delay values carefully. --- ## ✈️ Flight-Specific Delay Search Users can filter by a specific flight using: - Flight IATA - Flight ICAO - Numeric flight number Examples: ```text Flight IATA: AA2421 ``` ```text Flight ICAO: AAL2421 ``` ```text Flight number: 2421 ``` This is useful when monitoring a particular flight that may be delayed, cancelled, or affected by operational changes. --- ## ⏱️ Delay Values Delay values are shown in minutes. The table may include several delay-related columns, depending on the returned data. Common delay indicators:
Delay FieldMeaning
Main delayOverall delay value used for filtering
Departure delayDelay affecting departure
Arrival delayDelay affecting arrival
For departures, the departure delay is usually most relevant. For arrivals, the arrival delay is usually most relevant. However, both values can be useful because a flight may depart late and recover some time en route, or depart with a small delay and arrive with a larger delay due to routing, congestion, weather, or holding patterns. --- ## 🚨 Max Delay The summary may show a maximum delay value. Example: ```text Max delay: 1000 min ``` This helps users quickly identify the severity of the largest delay in the current result set. A very high delay value should be reviewed carefully because it may indicate: - Major operational disruption - Schedule rollover - Data-source anomaly - Cancelled or rescheduled service - Long ground delay - Airport disruption - Weather event - Regional traffic flow issue For critical use, high-delay records should be validated with official airline or airport sources. --- ## 🧠 Key Features ### Real-Time Delay Monitoring The tool monitors current delayed flights and returns operationally relevant results. ### Departures and Arrivals Users can choose whether to focus on delayed departures or delayed arrivals. ### Configurable Delay Threshold Minimum delay can be adjusted to focus on minor, moderate, or severe disruptions. ### Airport Filters Users can filter by departure or arrival airport using IATA or ICAO codes. ### Airline Filters Users can filter by one or more airlines using comma-separated IATA or ICAO codes. ### Flight Filters Users can search by full IATA flight code, full ICAO flight code, or numeric flight number. ### Status Filtering Results can be filtered by operational status. ### Sortable Table Users can click table headers to sort results. ### CSV Export Results can be exported to CSV for structured analysis. ### TXT Export Flight lists can be exported to TXT for quick operational use. ### Local Request History Recent queries are stored locally in the browser. ### Plan-Based Limits Daily query limits are enforced server-side according to the user’s plan. --- ## πŸ“€ Export Options Flight Delay supports export for operational and analytical workflows. ### CSV Export CSV export is useful for: - Spreadsheet analysis - Delay reporting - Airline disruption review - Airport operations dashboards - Logistics documentation - Incident response records - Corporate travel reporting ### TXT Export TXT export is useful when users need a plain list of delayed flight numbers. Possible use cases: - Watchlists - Batch checks - Quick sharing with operations teams - Copying into other aviation tools - Internal notifications Exported delay data may contain operationally sensitive travel information and should be stored appropriately. --- ## πŸ•“ Request History The **Request History** section stores recent delay searches locally in the browser. Example behavior: ```text Stores last 100 queries in your browser. ``` History entries may include: - Search type - Route filters - Delay threshold - Airline filter - Flight filter - Query timestamp Example history format: ```text DEPARTURES β€” β†’ β€” β‰₯ 60 min Airline: any Flight: any 17.06.2026, 21:40:19 ``` Local history helps users repeat common monitoring queries quickly. Because it is browser-local, history may be cleared by deleting browser data or using another device. --- ## 🚦 Query Limits and Plan Access Flight Delay uses plan-based query limits. Example: ```text 149 / 150 Queries remaining / total Plan: Sentinel ``` Important points: - Access depends on the user’s plan. - Daily tool limits are enforced server-side. - The user should monitor remaining query count during repeated searches. - Exporting already loaded results is separate from running new delay queries. --- ## 🧭 IATA and ICAO Reference The tool supports both IATA and ICAO identifiers. ### Airport IATA Three-letter airport code. Examples: ```text MIA JFK SFO ``` ### Airport ICAO Four-letter airport code. Examples: ```text KMIA KJFK KSFO ``` ### Airline IATA Two-character airline code. Examples: ```text AA BA DL ``` ### Airline ICAO Three-letter airline code. Examples: ```text AAL BAW DAL ``` ### Flight IATA IATA airline code plus flight number. Example: ```text AA2421 ``` ### Flight ICAO ICAO airline code plus flight number. Example: ```text AAL2421 ``` Using the correct identifier type improves result accuracy. --- ## 🧠 Result Interpretation Flight delay data should be interpreted carefully because flight operations change quickly. Important interpretation rules: - A delay value can change as the flight status updates. - A landed flight may still appear if it met the delay threshold. - Active flights can recover time en route. - Scheduled flights may show expected delay before departure. - Codeshare flights may appear as separate rows with identical times and routes. - A missing terminal or gate does not always mean the information is unavailable at the airport; it may simply not be returned. - Very high delay values should be validated. - Status and delay fields may differ depending on provider logic. - Operational decisions should be confirmed with official airline or airport sources. The tool is designed for monitoring and analysis, not as a single source of truth for safety-critical decisions. --- ## βœ… Recommended Monitoring Workflow A practical delay monitoring workflow should follow these steps. ### 1. Select Delay Type Choose Departures or Arrivals depending on the monitoring objective. ### 2. Set Minimum Delay Use 30 minutes for general disruption monitoring or 60+ minutes for more serious delay analysis. ### 3. Add Airport Filters Use departure or arrival IATA / ICAO codes to focus on a specific airport. ### 4. Add Airline Filters Use airline filters to monitor one or more carriers. ### 5. Add Flight Filters When Needed Use full flight codes or numeric flight number for a specific flight. ### 6. Review Summary Check result count, maximum delay, airlines, and route spread. ### 7. Sort the Table Sort by delay, departure time, arrival time, route, airline, or status. ### 8. Identify Codeshares Look for identical routes, times, and delays under different flight numbers. ### 9. Export Results Use CSV for structured analysis or TXT for simple flight lists. ### 10. Verify Critical Cases Confirm severe delays, cancellations, and passenger-impacting events with official sources. --- ## πŸ›‘οΈ Security, Privacy & Responsible Use Flight Delay is intended for lawful aviation monitoring and operational awareness. Acceptable use cases include: - Monitoring delayed departures - Monitoring delayed arrivals - Airport disruption analysis - Airline delay tracking - Travel coordination - Passenger pickup planning - Logistics and cargo planning - Corporate travel monitoring - Aviation OSINT - Executive protection workflows - Incident response support - Operational reporting Users should follow responsible use principles: - Do not use delay information for stalking, harassment, or physical harm. - Do not misuse flight data to target individuals. - Do not assume delay data is perfectly real-time or complete. - Do not make safety-critical decisions based only on one source. - Verify important travel and operational details with official sources. - Treat local request history as potentially sensitive on shared devices. - Use exports responsibly and store them securely when they contain operationally sensitive information. --- ## βš™οΈ Technical Highlights - Real-time flight delay monitoring - Available at `dash.niamonx.io/flight_delay` - Supports departure delay monitoring - Supports arrival delay monitoring - Configurable minimum delay threshold - Airport filters by IATA and ICAO - Airline filters by IATA and ICAO - Comma-separated airline filtering - Flight filters by IATA, ICAO, and numeric flight number - Status filtering - Client-side filters and controls - Sortable result table - CSV export - TXT export for flight lists - Local browser request history - Stores last 100 queries in the browser - Plan-based query limits - Server-side limit enforcement - Suitable for aviation monitoring, travel coordination, logistics, OSINT, and operational awareness --- ## πŸ“Œ Usage Hints - Select Departures to monitor outbound delays. - Select Arrivals to monitor inbound delays. - Use 30 minutes for general delay monitoring. - Use 60 minutes or more for significant disruption tracking. - Use airport IATA codes such as `MIA`, `JFK`, or `SFO`. - Use airport ICAO codes such as `KMIA`, `KJFK`, or `KSFO`. - Use comma-separated airline codes to monitor several airlines. - Use flight IATA or ICAO for exact flight tracking. - Use the numeric flight number when the airline code is uncertain. - Click table headers to sort results. - Export CSV for analysis. - Export TXT for flight lists. - Confirm critical delay data with official airline or airport sources. - Access depends on your plan and daily tool limits. - Local request history stores the last 100 queries in your browser. --- ## πŸ“¬ Contact Information For technical, legal, abuse, privacy, or support-related inquiries, users can contact the NiamonX team directly: **** β€” Technical Support **** β€” General Inquiries **** β€” Privacy or Data Removal Requests **** β€” Legal and Compliance Matters Alternative contact channel: πŸ”— Helpdesk: [https://support.niamonx.io/](https://support.niamonx.io/) --- ## Summary **NiamonX Flight Delay** is a real-time delay monitoring tool for tracking delayed departures and arrivals worldwide. It supports configurable minimum delay thresholds, airport filters, airline filters, flight filters, status filtering, sortable tables, CSV export, TXT flight-list export, local browser history, and plan-based query limits. The tool is designed for aviation operations, travel coordination, airport disruption monitoring, logistics, corporate travel visibility, aviation OSINT, and incident response support. Results should be treated as current operational intelligence and verified with official airline or airport sources for critical decisions.