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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 1 new columns ({'year'}) and 6 missing columns ({'last_year', 'state', 'name', 'airport_id', 'first_year', 'fatalities'}).

This happened while the csv dataset builder was generating data using

hf://datasets/himaxym/faa-wildlife-strikes-us/wildlife_strikes_by_year.csv (at revision 7d6be864c27957260d93a3a549dd62ce9ae3a311), ['hf://datasets/himaxym/faa-wildlife-strikes-us@7d6be864c27957260d93a3a549dd62ce9ae3a311/wildlife_strikes_by_airport.csv', 'hf://datasets/himaxym/faa-wildlife-strikes-us@7d6be864c27957260d93a3a549dd62ce9ae3a311/wildlife_strikes_by_year.csv', 'hf://datasets/himaxym/faa-wildlife-strikes-us@7d6be864c27957260d93a3a549dd62ce9ae3a311/wildlife_top_species.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              year: int64
              total: int64
              damaging: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 603
              to
              {'airport_id': Value('string'), 'name': Value('string'), 'state': Value('string'), 'total': Value('int64'), 'damaging': Value('int64'), 'fatalities': Value('int64'), 'first_year': Value('int64'), 'last_year': Value('int64')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 1 new columns ({'year'}) and 6 missing columns ({'last_year', 'state', 'name', 'airport_id', 'first_year', 'fatalities'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/himaxym/faa-wildlife-strikes-us/wildlife_strikes_by_year.csv (at revision 7d6be864c27957260d93a3a549dd62ce9ae3a311), ['hf://datasets/himaxym/faa-wildlife-strikes-us@7d6be864c27957260d93a3a549dd62ce9ae3a311/wildlife_strikes_by_airport.csv', 'hf://datasets/himaxym/faa-wildlife-strikes-us@7d6be864c27957260d93a3a549dd62ce9ae3a311/wildlife_strikes_by_year.csv', 'hf://datasets/himaxym/faa-wildlife-strikes-us@7d6be864c27957260d93a3a549dd62ce9ae3a311/wildlife_top_species.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

airport_id
string
name
string
state
string
total
int64
damaging
int64
fatalities
int64
first_year
int64
last_year
int64
KDEN
DENVER INTL AIRPORT
CO
11,634
253
0
1,994
2,026
KDFW
DALLAS/FORT WORTH INTL ARPT
TX
8,992
279
0
1,990
2,026
KORD
CHICAGO O'HARE INTL ARPT
IL
7,331
271
0
1,990
2,026
KJFK
JOHN F KENNEDY INTL
NY
6,705
333
0
1,990
2,026
KMEM
MEMPHIS INTL
TN
5,518
200
0
1,990
2,026
KSLC
SALT LAKE CITY INTL
UT
4,391
378
0
1,990
2,026
KATL
HARTSFIELD - JACKSON ATLANTA INTL ARPT
GA
4,351
146
0
1,990
2,026
KSMF
SACRAMENTO INTL
CA
4,334
491
0
1,990
2,026
KDTW
DETROIT METRO WAYNE COUNTY ARPT
MI
4,322
117
0
1,990
2,026
KMCO
ORLANDO INTL
FL
4,302
317
0
1,990
2,026
KCLT
CHARLOTTE/DOUGLAS INTL ARPT
NC
3,782
120
0
1,990
2,026
KIAH
GEORGE BUSH INTERCONTINENTAL/ HOUSTON ARPT
TX
3,774
95
0
1,990
2,026
KLGA
LA GUARDIA ARPT
NY
3,771
225
0
1,990
2,026
KSDF
MUHAMMAD ALI INTERNATIONAL
KY
3,541
137
0
1,990
2,026
KMCI
KANSAS CITY INTL
MO
3,443
146
0
1,990
2,026
KAUS
AUSTIN-BERGSTROM INTL
TX
3,423
113
0
1,990
2,026
KEWR
NEWARK LIBERTY INTL ARPT
NJ
3,310
208
0
1,990
2,026
KCVG
CINCINNATI/NORTHERN KENTUCKY INTL ARPT
KY
3,268
89
0
1,990
2,026
KPHL
PHILADELPHIA INTL
PA
3,195
203
0
1,990
2,026
KBNA
NASHVILLE INTL
TN
3,162
93
0
1,990
2,026
KLAX
LOS ANGELES INTL
CA
3,142
177
0
1,990
2,026
KBOS
GENERAL EDWARD LAWRENCE LOGAN INTL ARPT
MA
2,910
189
0
1,990
2,026
KBWI
BALTIMORE/WASH INTL THURGOOD MARSHAL ARPT
MD
2,886
139
0
1,990
2,026
KPDX
PORTLAND INTL (OR)
OR
2,817
170
0
1,990
2,026
KIAD
WASHINGTON DULLES INTL ARPT
DC
2,719
196
0
1,990
2,026
KSFO
SAN FRANCISCO INTL ARPT
CA
2,702
186
0
1,990
2,026
KCLE
CLEVELAND-HOPKINS INTL ARPT
OH
2,652
77
0
1,990
2,026
KDAL
DALLAS LOVE FIELD ARPT
TX
2,647
94
0
1,990
2,026
KFLL
FORT LAUDERDALE/HOLLYWOOD INTL
FL
2,563
115
0
1,990
2,026
KMSP
MINNEAPOLIS-ST PAUL INTL/WOLD-CHAMBERLAIN ARPT
MN
2,530
139
0
1,990
2,026
KIND
INDIANAPOLIS INTL ARPT
IN
2,516
69
0
1,990
2,026
KMSY
LOUIE ARMSTRONG NEW ORLEANS INTL ARPT
LA
2,424
123
0
1,990
2,026
KPIT
PITTSBURGH INTL ARPT
PA
2,404
87
0
1,990
2,026
KSEA
SEATTLE-TACOMA INTL
WA
2,392
124
0
1,990
2,026
KTEB
TETERBORO AIRPORT
NJ
2,333
114
0
1,990
2,026
KMDW
CHICAGO MIDWAY INTL ARPT
IL
2,254
92
0
1,990
2,026
KDCA
RONALD REAGAN WASHINGTON NATIONAL ARPT
DC
2,180
155
0
1,990
2,026
KRSW
SOUTHWEST FLORIDA INTL ARPT
FL
2,124
97
0
1,990
2,026
KCMH
JOHN GLENN COLUMBUS INTL ARPT
OH
2,121
69
0
1,990
2,026
KHOU
WILLIAM P HOBBY ARPT
TX
2,116
88
0
1,990
2,026
KSAT
SAN ANTONIO INTL
TX
2,099
87
0
1,990
2,026
KOMA
EPPLEY AIRFIELD
NE
2,066
90
0
1,990
2,026
KTPA
TAMPA INTL
FL
2,061
112
0
1,990
2,026
KSJC
NORMAN Y. MINETA SAN JOSE INTL ARPT
CA
2,055
117
0
1,990
2,026
KSTL
LAMBERT-ST LOUIS INTL
MO
2,029
127
0
1,990
2,026
KPHX
PHOENIX SKY HARBOR INTL ARPT
AZ
1,980
69
0
1,990
2,026
KOAK
METRO OAKLAND INTL
CA
1,970
142
0
1,990
2,026
PHNL
DANIEL K. INOUYE INTERNATIONAL AIRPORT
HI
1,858
42
0
1,990
2,026
KMIA
MIAMI INTL
FL
1,808
146
0
1,990
2,026
PHLI
LIHUE ARPT
HI
1,538
21
0
1,990
2,026
KMKE
GENERAL MITCHELL INTL
WI
1,500
54
0
1,990
2,026
KJAX
JACKSONVILLE INTL
FL
1,473
51
0
1,990
2,026
KOKC
WILL ROGERS WORLD ARPT
OK
1,368
28
0
1,990
2,026
KGRR
GERALD R. FORD INTL ARPT
MI
1,363
25
0
1,990
2,026
KDSM
DES MOINES INTL
IA
1,320
43
0
1,990
2,026
KONT
ONTARIO INTL ARPT
CA
1,272
42
0
1,990
2,026
KMDT
HARRISBURG INTL
PA
1,260
40
0
1,990
2,026
KBDL
BRADLEY INTL
CT
1,255
35
0
1,990
2,026
KRDU
RALEIGH-DURHAM INTL
NC
1,166
56
0
1,990
2,026
KSRQ
SARASOTA-BRADENTON INTL ARPT
FL
1,154
45
0
1,990
2,026
KSFB
ORLANDO SANFORD INTL ARPT
FL
1,139
99
0
1,991
2,026
KLIT
BILL AND HILLARY CLINTON NATL ARPT/ADAMS FIELD
AR
1,130
39
0
1,990
2,026
KACY
ATLANTIC CITY INTL
NJ
1,105
19
0
1,990
2,026
KALB
ALBANY INTL
NY
1,086
40
0
1,990
2,026
KLGB
LONG BEACH-DAUGH FLD
CA
1,065
24
0
1,990
2,026
KPVD
RHODE ISLAND TF GREEN INTERNATIONAL AIRPORT
RI
1,061
38
0
1,990
2,026
KRIC
RICHMOND INTL
VA
1,053
43
0
1,990
2,026
KBHM
BIRMINGHAM-SHUTTLESWORTH INTL
AL
1,049
60
0
1,990
2,026
KCHS
CHARLESTON AFB/INTL ARPT
SC
1,005
30
0
1,990
2,026
KBUF
BUFFALO-NIAGARA INTL
NY
1,003
39
0
1,990
2,026
KMFE
MC ALLEN MILLER INTL
TX
999
15
0
1,991
2,026
KDAY
JAMES M COX DAYTON INTL
OH
958
24
0
1,990
2,026
KHPN
WESTCHESTER COUNTY ARPT
NY
930
63
0
1,990
2,026
KORF
NORFOLK INTL
VA
922
66
0
1,990
2,026
KBKL
BURKE LAKEFRONT
OH
918
37
0
1,990
2,026
PHOG
KAHULUI ARPT
HI
917
18
0
1,990
2,026
KDAB
DAYTONA BEACH INTL
FL
913
79
0
1,990
2,026
KCOS
CITY OF COLORADO SPRINGS MUNI APRT
CO
906
19
0
1,990
2,026
KSBA
SANTA BARBARA MUNICIPAL
CA
894
43
0
1,990
2,026
KSAN
SAN DIEGO INTL
CA
892
39
0
1,990
2,026
KHSV
HUNTSVILLE INTL ARPT-CARL T JONES FIELD
AL
853
7
0
1,990
2,026
KTYS
MCGHEE TYSON ARPT
TN
844
13
0
1,992
2,026
KLAS
HARRY REID INTERNATIONAL AIRPORT
NV
833
65
0
1,990
2,026
KIWA
PHOENIX-MESA GATEWAY
AZ
831
37
0
1,991
2,026
KTUL
TULSA INTL
OK
828
41
0
1,990
2,026
KLEX
BLUE GRASS ARPT
KY
803
18
0
1,991
2,026
KMMU
MORRISTOWN MUNICIPAL ARPT
NJ
787
52
0
1,990
2,026
KSAV
SAVANNAH/HILTON HEAD INTL ARPT
GA
781
29
0
1,990
2,026
KABE
LEHIGH VALLEY INTL
PA
769
23
0
1,990
2,026
KPBI
PALM BEACH INTL
FL
766
68
0
1,990
2,026
KMSN
DANE COUNTY REGIONAL ARPT-TRUAX FLD
WI
738
22
0
1,990
2,026
KCRP
CORPUS CHRISTI INTL ARPT
TX
736
31
0
1,991
2,026
KBTR
BATON ROUGE METROPOLITAN, RYAN FIELD
LA
727
15
0
1,990
2,026
KPIE
ST. PETE-CLEARWATER INTL ARPT
FL
724
46
0
1,990
2,026
KSNA
JOHN WAYNE-ORANGE COUNTY ARPT
CA
724
45
0
1,990
2,026
KABQ
ALBUQUERQUE INTL SUNPORT
NM
720
32
0
1,990
2,026
KPWM
PORTLAND INTL JETPORT (ME)
ME
714
20
0
1,990
2,026
KPIA
PEORIA INTL ARPT
IL
701
28
0
1,990
2,026
KBUR
BOB HOPE ARPT
CA
693
36
0
1,990
2,026
KTUS
TUCSON INTL
AZ
672
13
0
1,991
2,026
End of preview.

Wildlife Strikes on Civil Aircraft in the United States, 1990-2026 (FAA, aggregated)

Aggregated from the FAA Wildlife Strike Database (347,575 reports, January 1990 - July 2026), cleaned and compiled by FlightFinder, an aviation-safety database. Files: strikes by year (total and damaging), by airport (total, damaging, fatalities, first/last year), and top species by strike count.

Interactive version with per-record drill-down: https://himaxym.com/safety/wildlife-strikes

Also published on Zenodo (same data, citable): https://doi.org/10.5281/zenodo.21347860

Paper (methods + damage-rate analysis): https://arxiv.org/abs/2608.12390Open versioned aggregates of the FAA National Wildlife Strike Database (1990–2026), with the archived data freeze at https://doi.org/10.5281/zenodo.21758280

Source data: U.S. government work (public domain). Compilation: CC BY 4.0 — please attribute "FlightFinder (himaxym.com)". Counts represent FAA reports, not independently verified incidents.

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