Telecom Service Outage Reports

This dataset provides detailed records of telecom service outages, including report timestamps, affected service types, location, severity, cause, and impact metrics such as customer count and area affected. Designed for network reliability analysis, it enables trend identification, root cause analysis, and operational performance monitoring for telecom providers and regulators.

  • last updated 12 Jul 2025
  • by GoMask
The brief that made it

Network reliability and downtime analysis

Sample rows

preview · 8 of 200 rows · all 17 columns
outage_report_idstringseverity_levelstringaffected_customersintegeris_resolvedbooleanoutage_causestringreported_atdatetimeresolved_atdatetimeduration_minutesintegerservice_typestringaffected_area_km2floatcitystringstatestringpostal_codestringcountrystringnetwork_elementstringreported_bystringimpact_descriptionstring
OR-000001major12875truehardware failure2024-03-01T08:34:15Z2024-03-01T13:44:15Z310mobile45.8HoustonTexas77002USAcell towerautomated systemMajor mobile outage caused significant connectivity loss for thousands of users in the metro area.
OR-000002critical250000falsepower outage2024-03-02T16:05:44Zblankblankbroadband940.2ManchesterGreater ManchesterM4 1LEUKcore networkcustomerWidespread broadband outage due to regional power failure; service remains unavailable.
OR-000003minor38truemaintenance2024-03-03T10:10:12Z2024-03-03T10:41:12Z31landline0.6ZurichZurich8004Switzerlandexchangefield engineerBrief planned maintenance affected landline service for a limited number of customers.
OR-000004major6000truesoftware issue2024-03-04T14:22:50Z2024-03-04T18:10:50Z228tv19.5MelbourneVictoria3000Australiacable headendautomated systemSoftware glitch led to an extended TV blackout, resolved after vendor patching.
OR-000005critical1550000falseunknown2024-03-05T07:50:02Zblankblankmobile3500.4BerlinBerlin10115Germanycore networkautomated systemCritical, ongoing outage with unknown root cause affecting mobile services citywide.
OR-000006informational0truemaintenance2024-03-06T11:17:23Z2024-03-06T11:18:53Z1other0.01OsloOslo0154Norwaysmall cellfield engineerRoutine test outage for new experimental service, no customer impact reported.
OR-000007major16000trueweather2024-03-06T19:25:19Z2024-03-07T00:30:19Z305broadband121AucklandAuckland1010New Zealandfiber trunkcustomerSevere weather damaged fiber lines, causing broadband outages for several hours.
OR-000008critical78000falsepower outage2024-03-07T04:14:49Zblankblanktv320.7LagosLagos101212Nigeriadata centerautomated systemOngoing TV signal loss due to major power outage at regional data center.

What the 200 rows show

from the 200-row sample

Critical (severity level) stands out: mean affected_customers is 599,789, against 7,154 for the rest.

  • 71%is_resolved = true
  • 10,350median affected_customers
  • 4reported_by values
  • 5service types
  • 7network elements
  • 54countries
Mean affected_customers by severity_level200 rows
0400k800k599.8kcritical59 rows16,479major61 rows93.1minor38 rows0.50informat…42 rows
affected_customers200 rows, in bands of 250k
08517016810334542101.3M2.3Maffected_customers →

Median 10,350, from 0 to 2,015,000.

outage_cause200 rows · 7 values
  1. hardware failure63
  2. maintenance37
  3. power outage31
  4. unknown20
  5. software issue17
  6. weather16
  7. other16
17 columns by typefrom the column list below
  • string 11
  • integer 2
  • float 1
  • datetime 2
  • boolean 1

Columns

17 columns in four groups
blueprint · 17 columns
columntypedescriptionexample
Text 11 columns
outage_report_idstringUnique identifier for each outage report.uniqueOR-000001
service_typestringType of telecom service affected (e.g., mobile, broadband, landline).mobile · broadband · landline · tv · othermobile
outage_causestringPrimary cause of the outage (e.g., hardware failure, weather, maintenance, unknown).7 values · optionalhardware failure
severity_levelstringSeverity of the outage (e.g., critical, major, minor, informational).critical · major · minor · informationalmajor
impact_descriptionstringDetailed description of the outage impact.optionalMajor mobile outage cause…
citystringCity where the outage occurred.Houston
statestringState or region where the outage occurred.Texas
postal_codestringPostal code of the outage location.optional77002
countrystringCountry where the outage occurred.USA
network_elementstringSpecific network element affected (e.g., cell tower, exchange, data center).7 elements · optionalcell tower
reported_bystringSource of the report (e.g., customer, automated system, field engineer).customer · automated system · field engineer · other · optionalautomated system
Numbers 3 columns
duration_minutesintegerTotal duration of the outage in minutes.0 or more · optional310
affected_customersintegerNumber of customers affected by the outage.0 or more · optional12875
affected_area_km2floatEstimated geographic area affected by the outage in square kilometers.0 or more · optional45.8
Dates and times 2 columns
reported_atdatetimeTimestamp when the outage was reported.2024-03-01T08:34:15Z
resolved_atdatetimeTimestamp when the outage was resolved.optional2024-03-01T13:44:15Z
True or false 1 column
is_resolvedbooleanIndicates whether the outage has been resolved.true

Use it for

  • is resolved71%141 of 200 rowsmean affected custome…599.8kcrit…16.5kmajor93.1minor0.50info…

    A telecommunications dashboard

    The is_resolved rate, affected_customers by severity_level and a breakdown of outage_cause. Excel, Power BI or Tableau.

  • Why do the 59 critical rows have a mean affected_customers of 599,789?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable outage reports with reported_at, resolved_at and duration_minutes to fill a screen in front of a buyer.

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This dataset200 rows17 columns
Yours1,000 rows17 columnscity: UK only

blueprint · telecom-service-outage-reports

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 17 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each report includes outage type and region
  • Duration and number of users affected provided
  • Root cause categorized (hardware, software, external)
  • Resolution timestamp and team assigned
  • Optional: customer complaint count
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
telecom-service-outage-reports

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