United States General Aviation Safety Data

JohnSnowLabs

Files Size Format Created Updated License Source
2 69kB csv zip 2 weeks ago John Snow Labs Standard License John Snow Labs Bureau of Transportation Statistics
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Data Files

File Description Size Last changed Download Other formats
united-states-general-aviation-safety-data-csv [csv] 2kB united-states-general-aviation-safety-data-csv [csv] united-states-general-aviation-safety-data-csv [json] (12kB)
united-states-general-aviation-safety-data_zip [zip] Compressed versions of dataset. Includes normalized CSV and JSON data with original data and datapackage.json. 6kB united-states-general-aviation-safety-data_zip [zip]

united-states-general-aviation-safety-data-csv  

This is a preview version. There might be more data in the original version.

Field information

Field Name Order Type (Format) Description
Year 1 date (%Y-%m-%d) Year of data
Total_Fatalities 2 integer Total number of fatalities from U.S. registered civil aircraft not operated under 14 CFR 121 or 14 CFR 135. Accidents on foreign soil and in foreign waters are excluded. Suicide, sabotage, and stolen/unauthorized cases included in accidents, fatalities and rate computation in this table are: 1985 (11 accidents, 6 fatal accidents); 1990 (4, 1); 1991 (8, 5); 1992 (2, 1); 1993 (5, 4); 1994 (3, 2); 1995 (10, 6); 1996 (4, 0); 1997 (5, 2); 1998 (6, 4); 1999 (3, 1); 2000 (7, 7); 2001 (3, 1); 2002 (7, 6); 2003 (4, 3); 2004 (3, 0); 2005 (2, 1); 2006 (2, 1); 2007 (2, 2); 2008 (2, 0); 2009 (3, 0); 2010 (3, 2), 2011 (1, 0), 2012 (1, 1), 2013(3, 3), 2014(0, 0).
Total_Seriously_Injured_Persons 3 integer Total number of seriously injured persons in accidents
Total_Accidents 4 integer Total number of civil aircraft accidents happended. a U.S. registered civil aircraft not operated under 14 CFR 121 or 14 CFR 135. Accidents on foreign soil and in foreign waters are excluded. Suicide, sabotage, and stolen/unauthorized cases included in accidents, fatalities and rate computation in this table are: 1985 (11 accidents, 6 fatal accidents); 1990 (4, 1); 1991 (8, 5); 1992 (2, 1); 1993 (5, 4); 1994 (3, 2); 1995 (10, 6); 1996 (4, 0); 1997 (5, 2); 1998 (6, 4); 1999 (3, 1); 2000 (7, 7); 2001 (3, 1); 2002 (7, 6); 2003 (4, 3); 2004 (3, 0); 2005 (2, 1); 2006 (2, 1); 2007 (2, 2); 2008 (2, 0); 2009 (3, 0); 2010 (3, 2), 2011 (1, 0), 2012 (1, 1), 2013(3, 3), 2014(0, 0). Since April 1995, the National Transportation Safety Board has been required by law to investigate all public-use accidents, increasing the number of NTSB reported general aviation accidents by approximately 1.75%.
Total_Fatal_Accidents 5 integer Total number of civil aircraft accidents with fatality. U.S. registered civil aircraft not operated under 14 CFR 121 or 14 CFR 135. Accidents on foreign soil and in foreign waters are excluded. Suicide, sabotage, and stolen/unauthorized cases included in accidents, fatalities and rate computation in this table are: 1985 (11 accidents, 6 fatal accidents); 1990 (4, 1); 1991 (8, 5); 1992 (2, 1); 1993 (5, 4); 1994 (3, 2); 1995 (10, 6); 1996 (4, 0); 1997 (5, 2); 1998 (6, 4); 1999 (3, 1); 2000 (7, 7); 2001 (3, 1); 2002 (7, 6); 2003 (4, 3); 2004 (3, 0); 2005 (2, 1); 2006 (2, 1); 2007 (2, 2); 2008 (2, 0); 2009 (3, 0); 2010 (3, 2), 2011 (1, 0), 2012 (1, 1), 2013(3, 3), 2014(0, 0). Since April 1995, the National Transportation Safety Board has been required by law to investigate all public-use accidents, increasing the number of NTSB reported general aviation accidents by approximately 1.75%.
Flight_Hours_In_Thousands 6 integer Number of flight hours in thousands in the year
Fatalities_Rates_Per_100000_Flight_Hours 7 number Fatality Rates are computed by dividing the number of Total fatalities by the number of Flight hours. Rates are computed by dividing the number of Total fatalities, by the number of Flight hours, except for the exclusions mentioned in footnote; Suicide, sabotage, and stolen/unauthorized cases.
Seriously_Injured_Persons_Rates_Per_100000_Flight_Hours 8 number Rates are computed by dividing the number of Total seriously injured persons by the number of Flight hours. Rates are computed by dividing the number of Total seriously injured persons by the number of Flight hours, except for the exclusions mentioned in footnote; Suicide, sabotage, and stolen/unauthorized case.
Total_Accidents_Rates_Per_100000_Flight_Hours 9 number Rates are computed by dividing the number of Total accidents by the number of Flight hours. Rates are computed by dividing the number of Total accidents by the number of Flight hours, except for the exclusions mentioned in footnote; Suicide, sabotage, and stolen/unauthorized cases.
Total_Accidents_Fatal_Rates_Per_100000_Flight_Hours 10 number Rates are computed by dividing the number of and Total accidents, fatal by the number of Flight hours. Rates are computed by dividing the number of Total accidents, fatal by the number of Flight hours, except for the exclusions mentioned in footnote; Suicide, sabotage, and stolen/unauthorized cases.

united-states-general-aviation-safety-data_zip  

This is a preview version. There might be more data in the original version.

Read me

Import into your tool

If you are using R here's how to get the data you want quickly loaded:

install.packages("jsonlite")
library("jsonlite")

json_file <- "http://datahub.io/JohnSnowLabs/united-states-general-aviation-safety-data/datapackage.json"
json_data <- fromJSON(paste(readLines(json_file), collapse=""))

# access csv file by the index starting from 1
path_to_file = json_data$resources$path[1][1]
data <- read.csv(url(path_to_file))
print(data)

In order to work with Data Packages in Pandas you need to install the Frictionless Data data package library and the pandas extension:

pip install datapackage
pip install jsontableschema-pandas

To get the data run following code:

import datapackage

data_url = "http://datahub.io/JohnSnowLabs/united-states-general-aviation-safety-data/datapackage.json"

# to load Data Package into storage
storage = datapackage.push_datapackage(data_url, 'pandas')

# data frames available (corresponding to data files in original dataset)
storage.buckets

# you can access datasets inside storage, e.g. the first one:
storage[storage.buckets[0]]

For Python, first install the `datapackage` library (all the datasets on DataHub are Data Packages):

pip install datapackage

To get Data Package into your Python environment, run following code:

from datapackage import Package

package = Package('http://datahub.io/JohnSnowLabs/united-states-general-aviation-safety-data/datapackage.json')

# get list of resources:
resources = package.descriptor['resources']
resourceList = [resources[x]['name'] for x in range(0, len(resources))]
print(resourceList)

data = package.resources[0].read()
print(data)

If you are using JavaScript, please, follow instructions below:

Install data.js module using npm:

  $ npm install data.js

Once the package is installed, use the following code snippet:

const {Dataset} = require('data.js')

const path = 'http://datahub.io/JohnSnowLabs/united-states-general-aviation-safety-data/datapackage.json'

// We're using self-invoking function here as we want to use async-await syntax:
(async () => {
  const dataset = await Dataset.load(path)

  // Get the first data file in this dataset
  const file = dataset.resources[0]
  // Get a raw stream
  const stream = await file.stream()
  // entire file as a buffer (be careful with large files!)
  const buffer = await file.buffer
})()

Install the datapackage library created specially for Ruby language using gem:

gem install datapackage

Now get the dataset and read the data:

require 'datapackage'

path = 'http://datahub.io/JohnSnowLabs/united-states-general-aviation-safety-data/datapackage.json'

package = DataPackage::Package.new(path)
# So package variable contains metadata. You can see it:
puts package

# Read data itself:
resource = package.resources[0]
data = resource.read
puts data
Datapackage.json