Airline Safety: airline-safety.csv

This table contains the data behind the story Should Travelers Avoid Flying Airlines That Have Had Crashes in the Past?

Header Definition
airline Airline (asterisk indicates that regional subsidiaries are included)
avail_seat_km_per_week Available seat kilometers flown every week
incidents_85_99 Total number of incidents, 1985–1999
fatal_accidents_85_99 Total number of fatal accidents, 1985–1999
fatalities_85_99 Total number of fatalities, 1985–1999
incidents_00_14 Total number of incidents, 2000–2014
fatal_accidents_00_14 Total number of fatal accidents, 2000–2014
fatalities_00_14 Total number of fatalities, 2000–2014

Source: Aviation Safety Network

Data license: CC Attribution 4.0 License · Data source: fivethirtyeight/data on GitHub

56 rows sorted by fatal_accidents_85_99

View and edit SQL

Suggested facets: incidents_85_99, fatal_accidents_85_99, incidents_00_14, fatal_accidents_00_14, fatalities_00_14

Link rowid airline avail_seat_km_per_week incidents_85_99 fatal_accidents_85_99 ▼ fatalities_85_99 incidents_00_14 fatal_accidents_00_14 fatalities_00_14
1 Aer Lingus 320906734 2 0 0 0 0 0
3 Aerolineas Argentinas 385803648 6 0 0 1 0 0
5 Air Canada 1865253802 2 0 0 2 0 0
8 Air New Zealand* 710174817 3 0 0 5 1 7
9 Alaska Airlines* 965346773 5 0 0 5 1 88
13 Austrian Airlines 358239823 1 0 0 1 0 0
15 British Airways* 3179760952 4 0 0 6 0 0
16 Cathay Pacific* 2582459303 0 0 0 2 0 0
24 Finnair 506464950 1 0 0 0 0 0
26 Gulf Air 301379762 1 0 0 3 1 143
27 Hawaiian Airlines 493877795 0 0 0 1 0 0
30 Kenya Airways 277414794 2 0 0 2 2 283
38 Qantas* 1917428984 1 0 0 5 0 0
40 SAS* 682971852 5 0 0 6 1 110
44 Southwest Airlines 3276525770 1 0 0 8 0 0
49 TAP - Air Portugal 619130754 0 0 0 0 0 0
55 Virgin Atlantic 1005248585 1 0 0 0 0 0
4 Aeromexico* 596871813 3 1 64 5 0 0
7 Air India* 869253552 2 1 329 4 1 158
11 All Nippon Airways 1841234177 3 1 1 7 0 0
18 Condor 417982610 2 1 16 0 0 0
19 COPA 550491507 3 1 47 0 0 0
22 El Al 335448023 1 1 4 1 0 0
28 Iberia 1173203126 4 1 148 5 0 0
29 Japan Airlines 1574217531 3 1 520 0 0 0
31 KLM* 1874561773 7 1 3 1 0 0
34 Lufthansa* 3426529504 6 1 2 3 0 0
35 Malaysia Airlines 1039171244 3 1 34 3 2 537
43 South African 651502442 2 1 159 1 0 0
45 Sri Lankan / AirLanka 325582976 2 1 14 4 0 0
46 SWISS* 792601299 2 1 229 3 0 0
47 TACA 259373346 3 1 3 1 1 3
56 Xiamen Airlines 430462962 9 1 82 2 0 0
10 Alitalia 698012498 7 2 50 4 0 0
33 LAN Airlines 1001965891 3 2 21 0 0 0
41 Saudi Arabian 859673901 7 2 313 11 0 0
42 Singapore Airlines 2376857805 2 2 6 2 1 83
14 Avianca 396922563 5 3 323 0 0 0
21 Egyptair 557699891 8 3 282 4 1 14
25 Garuda Indonesia 613356665 10 3 260 4 2 22
36 Pakistan International 348563137 8 3 234 10 2 46
39 Royal Air Maroc 295705339 5 3 51 3 0 0
48 TAM 1509195646 8 3 98 7 2 188
51 Turkish Airlines 1946098294 8 3 64 8 2 84
54 Vietnam Airlines 625084918 7 3 171 1 0 0
6 Air France 3004002661 14 4 79 6 2 337
37 Philippine Airlines 413007158 7 4 74 2 1 1
50 Thai Airways 1702802250 8 4 308 2 1 1
12 American* 5228357340 21 5 101 17 3 416
23 Ethiopian Airlines 488560643 25 5 167 5 2 92
32 Korean Air 1734522605 12 5 425 1 0 0
17 China Airlines 813216487 12 6 535 2 1 225
53 US Airways / America West* 2455687887 16 7 224 11 2 23
52 United / Continental* 7139291291 19 8 319 14 2 109
20 Delta / Northwest* 6525658894 24 12 407 24 2 51
2 Aeroflot* 1197672318 76 14 128 6 1 88

Advanced export

JSON shape: default, array, newline-delimited

CSV options:

CREATE TABLE "airline-safety/airline-safety" (
"airline" TEXT,
  "avail_seat_km_per_week" INTEGER,
  "incidents_85_99" INTEGER,
  "fatal_accidents_85_99" INTEGER,
  "fatalities_85_99" INTEGER,
  "incidents_00_14" INTEGER,
  "fatal_accidents_00_14" INTEGER,
  "fatalities_00_14" INTEGER
);
Powered by Datasette · Query took 52.107ms · Data license: CC Attribution 4.0 License · Data source: fivethirtyeight/data on GitHub