2 datasets found
  1. Airplane Crash Data Since 1908

    • kaggle.com
    zip
    Updated Aug 20, 2019
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    Cem (2019). Airplane Crash Data Since 1908 [Dataset]. https://www.kaggle.com/cgurkan/airplane-crash-data-since-1908
    Explore at:
    zip(635504 bytes)Available download formats
    Dataset updated
    Aug 20, 2019
    Authors
    Cem
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    Context

    The aviation accident database throughout the world, from 1908-2019.

    • All civil and commercial aviation accidents of scheduled and non-scheduled passenger airliners worldwide, which resulted in a fatality (including all U.S. Part 121 and Part 135 fatal accidents)
    • All cargo, positioning, ferry and test flight fatal accidents.
    • All military transport accidents with 10 or more fatalities.
    • All commercial and military helicopter accidents with greater than 10 fatalities.
    • All civil and military airship accidents involving fatalities.
    • Aviation accidents involving the death of famous people.
    • Aviation accidents or incidents of noteworthy interest.

    There are similar dataset available on Kaggle. This dataset is cleaned versioned and source code is available on github.

    Content

    Data is scraped from planecrashinfo.com. Below you can find the dataset column descriptions:

    • Date: Date of accident, in the format - January 01, 2001
    • Time: Local time, in 24 hr. format unless otherwise specified
    • Airline/Op: Airline or operator of the aircraft
    • Flight #: Flight number assigned by the aircraft operator
    • Route: Complete or partial route flown prior to the accident
    • AC Type: Aircraft type
    • Reg: ICAO registration of the aircraft
    • cn / ln: Construction or serial number / Line or fuselage number
    • Aboard: Total aboard (passengers / crew)
    • Fatalities: Total fatalities aboard (passengers / crew)
    • Ground: Total killed on the ground
    • Summary: Brief description of the accident and cause if known

    Acknowledgements

    The original data is from the Plane Crash info website (http://www.planecrashinfo.com/database.htm). Dataset is scraped with Python. Source code is also public on Github

    Inspiration

    Find the root cause of plane crashes. Find any insights from dataset such as - Which operators are the worst - Which aircrafts are the worst

  2. Fatal civil airliner accidents by country and region 1945-2022

    • statista.com
    • ai-chatbox.pro
    Updated Apr 16, 2024
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    Statista (2024). Fatal civil airliner accidents by country and region 1945-2022 [Dataset]. https://www.statista.com/statistics/262867/fatal-civil-airliner-accidents-since-1945-by-country-and-region/
    Explore at:
    Dataset updated
    Apr 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    As a result of the continued annual growth in global air traffic passenger demand, the number of airplanes that were involved in accidents is on the increase. Although the United States is ranked among the 20 countries with the highest quality of air infrastructure, the U.S. reports the highest number of civil airliner accidents worldwide. 2020 was the year with more plane crashes victims, despite fewer flights The number of people killed in accidents involving large commercial aircraft has risen globally in 2020, even though the number of commercial flights performed last year dropped by 57 percent to 16.4 million. More than half of the total number of deaths were recorded in January 2020, when an Ukrainian plane was shot down in Iranian airspace, a tragedy that killed 176 people. The second fatal incident took place in May, when a Pakistani airliner crashed, killing 97 people. Changes in aviation safety In terms of fatal accidents, it seems that aviation safety experienced some decline on a couple of parameters. For example, there were 0.37 jet hull losses per one million flights in 2016. In 2017, passenger flights recorded the safest year in world history, with only 0.11 jet hull losses per one million flights. In 2020, the region with the highest hull loss rate was the Commonwealth of Independent States. These figures do not take into account accidents involving military, training, private, cargo and helicopter flights.

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Share
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Click to copy link
Link copied
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Cem (2019). Airplane Crash Data Since 1908 [Dataset]. https://www.kaggle.com/cgurkan/airplane-crash-data-since-1908
Organization logo

Airplane Crash Data Since 1908

Aircraft Accidents from 1908 to 2019

Explore at:
zip(635504 bytes)Available download formats
Dataset updated
Aug 20, 2019
Authors
Cem
License

Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically

Description

Context

The aviation accident database throughout the world, from 1908-2019.

  • All civil and commercial aviation accidents of scheduled and non-scheduled passenger airliners worldwide, which resulted in a fatality (including all U.S. Part 121 and Part 135 fatal accidents)
  • All cargo, positioning, ferry and test flight fatal accidents.
  • All military transport accidents with 10 or more fatalities.
  • All commercial and military helicopter accidents with greater than 10 fatalities.
  • All civil and military airship accidents involving fatalities.
  • Aviation accidents involving the death of famous people.
  • Aviation accidents or incidents of noteworthy interest.

There are similar dataset available on Kaggle. This dataset is cleaned versioned and source code is available on github.

Content

Data is scraped from planecrashinfo.com. Below you can find the dataset column descriptions:

  • Date: Date of accident, in the format - January 01, 2001
  • Time: Local time, in 24 hr. format unless otherwise specified
  • Airline/Op: Airline or operator of the aircraft
  • Flight #: Flight number assigned by the aircraft operator
  • Route: Complete or partial route flown prior to the accident
  • AC Type: Aircraft type
  • Reg: ICAO registration of the aircraft
  • cn / ln: Construction or serial number / Line or fuselage number
  • Aboard: Total aboard (passengers / crew)
  • Fatalities: Total fatalities aboard (passengers / crew)
  • Ground: Total killed on the ground
  • Summary: Brief description of the accident and cause if known

Acknowledgements

The original data is from the Plane Crash info website (http://www.planecrashinfo.com/database.htm). Dataset is scraped with Python. Source code is also public on Github

Inspiration

Find the root cause of plane crashes. Find any insights from dataset such as - Which operators are the worst - Which aircrafts are the worst

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