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Indicative · based on ADS-B integrity (NIC) data

All events

Budapest FIR (LHCC)

Integrity drop2026-10-16 14:00Z – 15:00Z · 2 h

Scale
Small
Observation sufficiency
Medium
Aircraft affected
5
In this FIR, last 30 days
47th of 47 events

Low navigation integrity (NIC) in adjacent cells. It does not say what caused it.

This is not a risk percentage or an observation-sufficiency value; it is only a size ranking. How is it calculated?

Opens the event's day; you choose departure and arrival.

Evidence

Strongest moment (UTC)
15:00 · cell 851e0a43fffffffOpen the strongest moment on the map
Aircraft affected that hour
2 / 8 aircraft
Scale basis
5 affected aircraft → Small event
Observation-sufficiency basis
26 aircraft observed, 5 affected.
Aircraft observed in hot hours
26 aircraft (19% affected)
FIR
Budapest FIR (LHCC)
Technical details
Hot cell-hours
4(hour, cell) pairs that make up the event
Cells
4
Data source
adsb.lol (ODbL)
Algorithm version
1.6.0

Hour by hour: before, event, after

Hourly view of the event day: the event hours plus a few hours before and after. Values are the hourly share of affected aircraft across the whole published region network, not of the event's own cells; do not read them as the event's size or cause.

11:00Z Before: 3.4%12:00Z Before: 3.2%13:00Z Before: 3.1%14:00Z Event: 4.5%15:00Z Event: 3.8%16:00Z After: 4.4%17:00Z After: 2.9%18:00Z After: 2%11121518▮ Event
Hour (UTC) · 2026-10-16highest 4.5%

Before → Event → After. ○ no data: no aircraft were observed that hour; this does not mean zero interference.

Hourly values (whole region network)
Hour (UTC)PhaseAircraft observedAircraft affectedShare
11:00Before1407483.4%
12:00Before1351433.2%
13:00Before1360423.1%
14:00Event1307594.5%
15:00Event1298493.8%
16:00After1241544.4%
17:00After1160342.9%
18:00After1119222%

Indicative · based on ADS-B integrity (NIC) data

What we do not know about this event

  • Cause: jamming, spoofing or a fault in the aircraft's avionics cannot be told apart from this data alone.
  • Coverage: the data comes from a single source (adsb.lol); aircraft where there are no receivers are not seen.
  • Share: the affected-aircraft count is not a share of all aircraft in the region; it covers only aircraft observed in the event's hot cell-hours.
  • Reality: this is an indicator; the event has not been verified by an independent source.

Among this FIR's events in the last 30 days

This event is the 47th largest of the 47 events recorded in Budapest FIR (LHCC) over the last 30 days, ranked by affected aircraft (5 aircraft).

How is it calculated?

This is not a risk percentage and not an observation-sufficiency value. It is only a size ranking; size means affected aircraft. The 47 events are sorted by affected aircraft from largest to smallest, and this event is at rank 47. Events of equal size count as ahead of this one; low-level events are left out of the comparison.

An event crossing midnight is stored as two records. The count 47 can therefore be higher than the real number of events, and a split event can look smaller than it was; the rank can shift accordingly.

FIR-wide daily share (secondary context; not the event ranking)

Daily share of aircraft affected (affected / observed) for Budapest FIR (LHCC), over the whole FIR. A large but local event in a wide FIR may barely move this share, so it is not used to judge the event's size.

2026-09-21: 1.9%2026-09-22: 1.7%2026-09-23: 2.3%2026-09-24: 2.4%2026-09-25: 1.9%2026-09-26: 2.6%2026-09-27: 1.7%2026-09-28: 1.5%2026-09-29: 2%2026-09-30: 1.9%2026-10-01: 1.4%2026-10-02: 2.1%2026-10-03: 2%2026-10-04: 1.7%2026-10-05: 2.4%2026-10-06: 2.2%2026-10-07: 1.9%2026-10-08: 2%2026-10-09: 1.5%2026-10-10: 1.7%2026-10-11: 2%2026-10-12: 2.2%2026-10-13: 2.5%2026-10-14: 2.8%2026-10-15: 2.2%2026-10-16: 3.5%2026-10-17: 2.7%2026-10-18: 3.3%2026-10-19: 1.7%2026-10-20: 3%
2026-09-21▮ Event day: 2026-10-16 · 3.5%2026-10-20

highest 3.5%

Gap: no data for the FIR that day (not zero). Marker: too few aircraft observed that day; no ratio computed.

Daily share of aircraft affected
DayShareAircraft observedEvents
2026-09-211.9%172300
2026-09-221.7%180331
2026-09-232.3%180493
2026-09-242.4%184563
2026-09-251.9%189524
2026-09-262.6%191101
2026-09-271.7%189891
2026-09-281.5%179760
2026-09-292%176611
2026-09-301.9%173801
2026-10-011.4%181791
2026-10-022.1%180223
2026-10-032%186021
2026-10-041.7%180840
2026-10-052.4%174744
2026-10-062.2%169471
2026-10-071.9%168152
2026-10-082%177061
2026-10-091.5%181381
2026-10-101.7%188463
2026-10-112%186953
2026-10-122.2%178415
2026-10-132.5%170361
2026-10-142.8%169220
2026-10-152.2%183021
2026-10-163.5%180667
2026-10-172.7%191834
2026-10-183.3%183323
2026-10-191.7%168513
2026-10-203%168915

Secondary: 64 integrity drop event records in this FIR over the last 30 days. An event crossing midnight counts as two records, so the count is not an exact measure.

Data note: on some earlier days unfiltered records from faulty devices may be included, so shares on those days may be slightly high.

Longer history in this region

Integrity drop events with medium or high observation sufficiency for Budapest FIR (LHCC), year by year (from the days in the archive).

YearEventsDays with eventsObservation level
2023119 / 318%43 · Moderate
2024224127 / 366%65 · Moderate
2025457250 / 361%82 · Strong
2026331183 / 283%86 · Strong

The observation level is that year's observed aircraft-hours as a share of today's level. As the adsb.lol receiver network grew, observation grew; event counts in low-level years cannot be compared with today's. An event is one cluster of adjacent cell-hours: several unconnected clusters on the same day count as separate events and midnight splits an event in two, so the event count is not a number of separate incidents. This is not a trend or risk claim.

Method and limits
What is this event?
An event is a region of low navigation integrity (NIC) seen in adjacent cells over consecutive hours. It does not say what caused it (jamming, spoofing or a fault).
What does “aircraft affected” mean?
The number of distinct aircraft that reported low NIC in the event's hot cell-hours. It is not a count of all aircraft in the region. Observed aircraft are only those seen in the event's hot cell-hours, not all aircraft in the region. The share should therefore not be read as “the share of aircraft in the area”.
What does observation sufficiency say?
Observation sufficiency comes from the number of aircraft observed and the uncertainty interval of the affected share; it shows how solid the data is. It does not say what caused the event or whether it is real. A reasonable sample. “High” needs more aircraft and a narrow interval.

Indicative · based on ADS-B integrity (NIC) data · Contains information from adsb.lol contributors (ODbL 1.0) · Manzlytics GNSS