Get Fatality Analysis Reporting System (FARS) data with the FARS API
Source:R/get_fars.R
get_fars.RdThis function provides a convenient interface for accessing FARS
data or data summaries using a range of criteria. The api parameter
allows you to call one of the following functions to access DOT NHTSA’s
Crash API:
get_fars_crash_listreturns a list of fatal crashes that have occurred in multiple states in one or more years.get_fars_crash_detailsreturns a details of a fatal crash that has occurred in a state for a single year.get_fars_crashesa list of fatal crashes by location that have occurred throughout U.S.get_fars_summaryprovides a count of injury severity that have occurred throughout U.S. including count of fatalities and crashes.get_fars_yearprovides one of 20 FARS data tables for a single year. Supports downloading to a CSV or JSON file.
Both get_fars_crash_list and get_fars_crashes limit the returned data
to 5000 records so consider limiting the range of years requested if data
exceeds that threshold.
This package also enables access to the FARS data available through the
NHTSA data downloads server in a zip format. Set api to "zip" or use the
get_fars_zip function to download this data.
Usage
get_fars(
year = 2022,
state,
county = NULL,
api = c("crashes", "cases", "state list", "summary count", "year dataset", "zip"),
type = NULL,
details = FALSE,
geometry = FALSE,
crs = NULL,
cases = NULL,
vehicles = NULL,
format = "json",
pr = FALSE,
path = NULL,
download = FALSE
)
get_fars_crashes(
year = 2022,
start_year,
end_year = NULL,
state,
county,
details = FALSE,
geometry = FALSE,
crs = NULL
)
get_fars_cases(
year = 2022,
state,
cases,
details = FALSE,
geometry = FALSE,
crs = NULL
)
get_fars_crash_list(
year = 2022,
start_year = NULL,
end_year = NULL,
state,
vehicles = c(1, 50)
)
get_fars_summary(year = 2022, start_year, end_year = NULL, state)
get_fars_year(
year = 2022,
type = "accident",
state,
format = "json",
path = NULL,
geometry = FALSE,
crs = NULL,
download = FALSE
)Arguments
- year
numeric vector. Year or range with start and end year. If
apiis "details", "year dataset", or "zip" (or using theget_fars_crash_details,get_fars_year, orget_fars_zipfunctions), a single year is required. All otherapioptions support a range with the minimum value is used as a start year and the maximum value used as a end year. Mostapioptions support the years from 2010 through the most recent year of release. "year dataset" only supports 2010 to 2017 and "zip" supports 1975 to 2022.start_yearandend_yearare ignored ifyearis notNULL.- state
Required. State name, abbreviation, or FIPS number.
get_fars_crash_listsupports multiple states.- county
County name or FIPS number. Required for
get_fars_crashes.- api
character. API function to use. Supported values include "crashes", "cases", "state list", "summary count", "year dataset", and "zip". Default: "crashes".
- type
Name of the dataset or data file to download when using the "year dataset" api or
get_fars_year. Supported values include "ACCIDENT", "CEVENT", "DAMAGE", "DISTRACT", "DRIMPAIR", "FACTOR", "MANEUVER", "NMCRASH", "NMIMPAIR", "NMPRIOR", "PARKWORK", "PBTYPE", "PERSON", "SAFETYEQ", "VEHICLE", "VEVENT VINDECODE", "VINDERIVED", "VIOLATION", "VISION", and "VSOE". Lowercase or mixed case values are permitted.- details
Type of detailed crash data to return (either "events" or "vehicles"). If
TRUEforget_farsorget_fars_crashes, detailed case data (excluding event and vehicle data) is attached to the returned crash data. IfNULLforget_fars_cases, events and vehicle data are excluded from the returned case data. returned byget_fars_cases. Optional forget_fars_crash_details. Default:NULLforget_fars_cases;FALSEforget_farsandget_fars_crashes.- geometry
If
TRUE, return sf object. Optional forget_fars_crashes.- crs
Coordinate reference system to return for
get_fars_crashesifgeometryisTRUE.- cases
One or more FARS case numbers. Required if
apiis "cases" or usingget_fars_cases. Multiple case numbers can be provided.- vehicles
numeric vector with the minimum and maximum number of vehicles, e.g. c(1, 2) for minimum of 1 vehicle and maximum of 2. Required for
get_fars_crash_list.- format
Default "json". "csv" is supported when using the "year dataset" api. "sas" is supporting for the "zip" api.
- pr
logical. If
TRUE, download zip file with FARS data for Puerto Rico. No Puerto Rico data available for years 1975-1977. Default:FALSEforget_fars_ziponly.- path
File path used if download is
TRUE.- download
logical. If
TRUEand theapiis "year dataset" or "zip", download the data to a file. DefaultFALSE.- start_year
Start year for crash reports.
- end_year
End year for crash reports.
Examples
head(get_fars_crashes(state = "MD", county = "Baltimore city"), 5)
#> CITY CITYNAME COUNTY COUNTYNAME CaseYear FATALS LATITUDE
#> 1 50 BALTIMORE 510 BALTIMORE (CITY) (510) 2022 1 39.28737222
#> 2 50 BALTIMORE 510 BALTIMORE (CITY) (510) 2022 1 39.28748333
#> 3 0 NOT APPLICABLE 510 BALTIMORE (CITY) (510) 2022 1 39.28098611
#> 4 50 BALTIMORE 510 BALTIMORE (CITY) (510) 2022 1 39.27735833
#> 5 50 BALTIMORE 510 BALTIMORE (CITY) (510) 2022 1 39.27402222
#> LONGITUD STATE STATENAME ST_CASE TOTALVEHICLES TWAY_ID TWAY_ID2 VE_FORMS
#> 1 -76.553625000 24 Maryland 240061 1 I-895 1
#> 2 -76.546555560 24 Maryland 240071 1 SR-150 UU0 1
#> 3 -76.622394440 24 Maryland 240072 1 I-395A 1
#> 4 -76.619722220 24 Maryland 240103 4 I-395 4
#> 5 -76.621216670 24 Maryland 240144 2 I-395 2
get_fars_cases(state = "MD", cases = "240274")
#> ARR_HOUR ARR_HOURNAME ARR_MIN
#> 1 99 Unknown EMS Scene Arrival Hour 99
#> ARR_MINNAME CF1 CF1NAME CF2 CF2NAME CF3 CF3NAME CITY
#> 1 Unknown EMS Scene Arrival Minutes NA NA NA NA NA NA 0
#> CITYNAME COUNTY COUNTYNAME CaseYear
#> 1 NOT APPLICABLE 3 ANNE ARUNDEL (3) 2022
#> CrashRFs DAY DAY_WEEK DAY_WEEKNAME
#> 1 0, None Noted, 2022, 24, MD, Maryland, 240274 19 6 Friday
#> DRUNK_DR FATALS FUNC_SYS FUNC_SYSNAME
#> 1 NA 1 2 Principal Arterial - Other Freeways and Expressways
#> HARM_EV HARM_EVNAME HOSP_HR HOSP_HRNAME HOSP_MN
#> 1 9 Pedalcyclist 88 Not Applicable (Not Transported) 88
#> HOSP_MNNAME HOUR HOURNAME LATITUDE LATITUDENAME
#> 1 Not Applicable (Not Transported) 18 6:00pm-6:59pm 39.17756667 39.17756667
#> LGT_COND LGT_CONDNAME LONGITUD LONGITUDNAME MAN_COLL
#> 1 1 Daylight -76.605758330 -76.60575833 0
#> MAN_COLLNAME
#> 1 The First Harmful Event was Not a Collision with a Motor Vehicle in Transport
#> MILEPT MILEPTNAME MINUTE MINUTENAME MONTH MonthName NHS
#> 1 50 50 20 20 8 August 1
#> NHSNAME
#> 1 This section IS ON the NHS
#> NMDrugs
#> 1 2022, 1, Tested, No Drugs Found/Negative, 1, Whole Blood, 1, 24, MD, Maryland, 240274, 0
#> NMPersonRF
#> 1 2022, 0, None Noted, 1, 24, MD, Maryland, 240274, 0
#> NMRace NOT_HOUR
#> 1 2022, 0, No, 1, 1, 99, Unknown, 24, MD, Maryland, 240274, 0 99
#> NOT_HOURNAME NOT_MIN NOT_MINNAME
#> 1 Unknown 99 Unknown
#> NPersons
#> 1 61, 61 Years, 97, Not a Motor Vehicle Occupant, NA, NA, 0, 0.000 % BAC, 2, Test Given, 1, Blood, NA, NA, NA, 3, ANNE ARUNDEL (3), 2022, 19, 19, 19, 18, 18:00-18:59, 30, 30, 8, August, 1830, 1830, 2022, 2022, 3, Unknown/Not Reported if Motorized, 3, Bicycle, 7, Died at Scene, 0, No (Alcohol Not Involved), NA, NA, NA, NA, NA, NA, 0, No (drugs not involved), NA, NA, NA, NA, NA, NA, NA, NA, 2, Test Given, 8, Not Applicable, 0, Ejection Path Not Applicable, NA, NA, 0, Not Extricated or Not Applicable, NA, NA, 2, Principal Arterial - Other Freeways and Expressways, NA, NA, NA, NA, 9, Pedalcyclist, 8, Not a Motor Vehicle Occupant, 96, Not a Motor Vehicle Occupant, 99, Unknown, 0, Not Transported for Treatment, 18, 6:00pm-6:59pm, NA, NA, NA, NA, NA, NA, 4, Fatal Injury (K), 0, 0, 10, 10, 11, Not at Intersection - On Roadway, Not in Marked Crosswalk, NA, NA, NA, NA, 0, The First Harmful Event was Not a Collision with a Motor Vehicle in Transport, 20, 20, NA, NA, 8, August, NA, NA, 1, 6, Bicyclist, NA, NA, NA, NA, NA, NA, NA, NA, NA, 8, Not a Motor Vehicle Occupant, 96, Not a Motor Vehicle Occupant, NA, NA, NA, NA, 2, Urban, NA, 0, No, 0, Not a Motor Vehicle Occupant, 1, Male, NA, NA, 24, Maryland, 1, 01, 240274, NA, NA, 0, 1, NA, NA, NA, NA, NA, NA, 9, Unknown
#> NmCrashes
#> 1 2022, 2022, 2, 7, Failure to Yield Right-Of-Way, Improper Turn/Merge, 2, 7, Failure to Yield Right-Of-Way, Improper Turn/Merge, 1, 1, 24, 24, Maryland, Maryland, 240274, 240274, 0, 0
#> NmDistract
#> 1 2022, 96, Not Reported, 96, Not Reported, 1, 24, MD, Maryland, 240274, 0
#> NmImpairs
#> 1 2022, 99, Reported as Unknown if Impaired, 1, 24, Maryland, 240274, 0
#> NmPriors
#> 1 2022, 3, Crossing Roadway, 3, Crossing Roadway, 1, 24, Maryland, 240274, 0
#> PEDS PERMVIT PERNOTMVIT PERSONS PVH_INVL ParkWorks
#> 1 1 1 1 1 0 NA
#> PbTypes
#> 1 220, Bicyclist Left Turn / Merge, 221, Bicyclist Left Turn - Same Direction, 1, With Traffic, 3, Not At Intersection, 1, Travel Lane, 2022, 7, Not a Pedestrian, 7, Not a Pedestrian, 61, 61 Years, 0, None Noted, 6, Bicyclist, 1, Male, 0, None Noted, 0, None Noted, 0, Not a Pedestrian, 0, Not a Pedestrian, 7, Not a Pedestrian, 7, Not a Pedestrian, 7, Not a Pedestrian, 77, Not a Pedestrian, 7, Not a Pedestrian, 1, 24, Maryland, 240274, 0
#> RAIL RAILNAME RD_OWNER RD_OWNERNAME RELJCT1 RELJCT1NAME
#> 1 0000000 Not Applicable 1 State Highway Agency 0 No
#> RELJCT2 RELJCT2NAME REL_ROAD REL_ROADNAME ROAD_FNC ROAD_FNCNAME ROUTE
#> 1 1 Non-Junction 1 On Roadway NA NA 3
#> ROUTENAME RUR_URB RUR_URBNAME SCH_BUS SCH_BUSNAME SP_JUR
#> 1 State Highway 2 Urban 0 No 0
#> SP_JURNAME STATENAME ST_CASE
#> 1 No Special Jurisdiction Maryland 240274
#> SafetyEQs State TWAY_ID TWAY_ID2 TYP_INT
#> 1 2022, NA, NA, 1, 24, Maryland, 240274, 0 24 SR-10 1
#> TYP_INTNAME VE_FORMS VE_TOTAL WEATHER WEATHER1 WEATHER1NAME WEATHER2
#> 1 Not an Intersection 1 1 1 NA NA NA
#> WEATHER2NAME WEATHERNAME WRK_ZONE WRK_ZONENAME
#> 1 NA Clear 0 None
#> Weathers YEAR
#> 1 2022, 24, MD, Maryland, 240274, 1, Clear 2022
get_fars_crash_list(state = "MD", vehicles = 5)
#> CountyName CrashDate Fatals Peds Persons St_Case
#> 1 ANNE ARUNDEL (3) /Date(1652041560000-0400)/ 1 0 10 240139
#> 2 PRINCE GEORGE`S (33) /Date(1657938900000-0400)/ 1 0 2 240236
#> 3 ANNE ARUNDEL (3) /Date(1663643520000-0400)/ 1 0 5 240332
#> 4 BALTIMORE (CITY) (510) /Date(1656433320000-0400)/ 1 0 11 240394
#> 5 ANNE ARUNDEL (3) /Date(1668836580000-0500)/ 1 0 7 240423
#> 6 HARFORD (25) /Date(1670413440000-0500)/ 1 0 5 240435
#> 7 PRINCE GEORGE`S (33) /Date(1644579120000-0500)/ 1 0 6 240501
#> State StateName TotalVehicles
#> 1 24 Maryland 5
#> 2 24 Maryland 5
#> 3 24 Maryland 5
#> 4 24 Maryland 5
#> 5 24 Maryland 5
#> 6 24 Maryland 5
#> 7 24 Maryland 5
get_fars_summary(state = "MD")
#> CaseYear CrashCounts TotalFatalCounts
#> 1 2022 532 564
head(get_fars_year(state = "MD", type = "PERSON"), 5)
#> AGE AGENAME AIR_BAG AIR_BAGNAME ALC_DET ALC_DETNAME ALC_RES
#> 1 93 93 Years 20 Not Deployed NA NA 0
#> 2 29 29 Years 1 Deployed- Front NA NA 996
#> 3 33 33 Years 8 Deployed- Combination NA NA 996
#> 4 13 13 Years 8 Deployed- Combination NA NA 0
#> 5 32 32 Years 8 Deployed- Combination NA NA 996
#> ALC_RESNAME ALC_STATUS ALC_STATUSNAME ATST_TYP ATST_TYPNAME BODY_TYP
#> 1 0.000 % BAC 2 Test Given 1 Blood 4
#> 2 Test Not Given 0 Test Not Given 0 Test Not Given 14
#> 3 Test Not Given 0 Test Not Given 0 Test Not Given 4
#> 4 0.000 % BAC 2 Test Given 8 Other Test Type 4
#> 5 Test Not Given 0 Test Not Given 0 Test Not Given 4
#> BODY_TYPNAME CASEYEAR
#> 1 4-door sedan, hardtop 2022
#> 2 Compact Utility (Utility Vehicle Categories "Small" and "Midsize") 2022
#> 3 4-door sedan, hardtop 2022
#> 4 4-door sedan, hardtop 2022
#> 5 4-door sedan, hardtop 2022
#> CERT_NO COUNTY COUNTYNAME DAY DEATH_DA DEATH_DANAME
#> 1 NA 43 WASHINGTON (43) 1 1 1
#> 2 NA 43 WASHINGTON (43) 1 88 Not Applicable (Non-Fatal)
#> 3 NA 5 BALTIMORE (5) 1 88 Not Applicable (Non-Fatal)
#> 4 NA 5 BALTIMORE (5) 1 1 1
#> 5 NA 5 BALTIMORE (5) 1 88 Not Applicable (Non-Fatal)
#> DEATH_HR DEATH_HRNAME DEATH_MN DEATH_MNNAME
#> 1 11 11:00-11:59 5 5
#> 2 88 Not Applicable (Non-fatal) 88 Not Applicable (Non-fatal)
#> 3 88 Not Applicable (Non-fatal) 88 Not Applicable (Non-fatal)
#> 4 22 22:00-22:59 16 16
#> 5 88 Not Applicable (Non-fatal) 88 Not Applicable (Non-fatal)
#> DEATH_MO DEATH_MONAME DEATH_TM DEATH_TMNAME
#> 1 1 January 1105 1105
#> 2 88 Not Applicable (Non-Fatal) 8888 Not Applicable (Non-fatal)
#> 3 88 Not Applicable (Non-Fatal) 8888 Not Applicable (Non-fatal)
#> 4 1 January 2216 2216
#> 5 88 Not Applicable (Non-Fatal) 8888 Not Applicable (Non-fatal)
#> DEATH_YR DEATH_YRNAME DEVMOTOR DEVMOTORNAME DEVTYPE DEVTYPENAME
#> 1 2022 2022 <NA> <NA> <NA> <NA>
#> 2 8888 Not Applicable (Non-fatal) <NA> <NA> <NA> <NA>
#> 3 8888 Not Applicable (Non-fatal) <NA> <NA> <NA> <NA>
#> 4 2022 2022 <NA> <NA> <NA> <NA>
#> 5 8888 Not Applicable (Non-fatal) <NA> <NA> <NA> <NA>
#> DOA DOANAME DRINKING DRINKINGNAME DRUGRES1 DRUGRES1NAME
#> 1 0 Not Applicable 8 Not Reported NA NA
#> 2 0 Not Applicable 0 No (Alcohol Not Involved) NA NA
#> 3 0 Not Applicable 0 No (Alcohol Not Involved) NA NA
#> 4 0 Not Applicable 8 Not Reported NA NA
#> 5 0 Not Applicable 8 Not Reported NA NA
#> DRUGRES2 DRUGRES2NAME DRUGRES3 DRUGRES3NAME DRUGS DRUGSNAME
#> 1 NA NA NA NA 8 Not Reported
#> 2 NA NA NA NA 0 No (drugs not involved)
#> 3 NA NA NA NA 0 No (drugs not involved)
#> 4 NA NA NA NA 8 Not Reported
#> 5 NA NA NA NA 8 Not Reported
#> DRUGTST1 DRUGTST1NAME DRUGTST2 DRUGTST2NAME DRUGTST3 DRUGTST3NAME DRUG_DET
#> 1 NA NA NA NA NA NA NA
#> 2 NA NA NA NA NA NA NA
#> 3 NA NA NA NA NA NA NA
#> 4 NA NA NA NA NA NA NA
#> 5 NA NA NA NA NA NA NA
#> DRUG_DETNAME DSTATUS DSTATUSNAME EJECTION EJECTIONNAME EJ_PATH
#> 1 NA 2 Test Given 1 Totally Ejected 9
#> 2 NA 0 Test Not Given 0 Not Ejected 0
#> 3 NA 0 Test Not Given 0 Not Ejected 0
#> 4 NA 2 Test Given 0 Not Ejected 0
#> 5 NA 0 Test Not Given 0 Not Ejected 0
#> EJ_PATHNAME EMER_USE EMER_USENAME EXTRICAT
#> 1 Ejection Path Unknown 0 Not Applicable 0
#> 2 Ejection Path Not Applicable 0 Not Applicable 0
#> 3 Ejection Path Not Applicable 0 Not Applicable 0
#> 4 Ejection Path Not Applicable 0 Not Applicable 0
#> 5 Ejection Path Not Applicable 0 Not Applicable 0
#> EXTRICATNAME FIRE_EXP FIRE_EXPNAME FUNC_SYS
#> 1 Not Extricated or Not Applicable 0 No or Not Reported 3
#> 2 Not Extricated or Not Applicable 0 No or Not Reported 3
#> 3 Not Extricated or Not Applicable 0 No or Not Reported 1
#> 4 Not Extricated or Not Applicable 0 No or Not Reported 1
#> 5 Not Extricated or Not Applicable 0 No or Not Reported 1
#> FUNC_SYSNAME GVWR_FROM
#> 1 Principal Arterial - Other 11
#> 2 Principal Arterial - Other 11
#> 3 Interstate 11
#> 4 Interstate 11
#> 5 Interstate 11
#> GVWR_FROMNAME GVWR_TO
#> 1 Class 1: 6,000 lbs. or less (2,722 kg or less) 12
#> 2 Class 1: 6,000 lbs. or less (2,722 kg or less) 11
#> 3 Class 1: 6,000 lbs. or less (2,722 kg or less) 11
#> 4 Class 1: 6,000 lbs. or less (2,722 kg or less) 11
#> 5 Class 1: 6,000 lbs. or less (2,722 kg or less) 11
#> GVWR_TONAME HARM_EV
#> 1 Class 2: 6,001 - 10,000 lbs. (2,722 - 4,536 kg) 12
#> 2 Class 1: 6,000 lbs. or less (2,722 kg or less) 12
#> 3 Class 1: 6,000 lbs. or less (2,722 kg or less) 25
#> 4 Class 1: 6,000 lbs. or less (2,722 kg or less) 25
#> 5 Class 1: 6,000 lbs. or less (2,722 kg or less) 25
#> HARM_EVNAME HELM_MIS HELM_MISNAME HELM_USE
#> 1 Motor Vehicle In-Transport 7 None Used/Not Applicable 20
#> 2 Motor Vehicle In-Transport 7 None Used/Not Applicable 20
#> 3 Concrete Traffic Barrier 7 None Used/Not Applicable 20
#> 4 Concrete Traffic Barrier 7 None Used/Not Applicable 20
#> 5 Concrete Traffic Barrier 7 None Used/Not Applicable 20
#> HELM_USENAME HISPANIC HISPANICNAME HOSPITAL
#> 1 Not Applicable 99 Unknown 0
#> 2 Not Applicable 0 Not A Fatality (not Applicable) 5
#> 3 Not Applicable 0 Not A Fatality (not Applicable) 0
#> 4 Not Applicable 99 Unknown 5
#> 5 Not Applicable 0 Not A Fatality (not Applicable) 0
#> HOSPITALNAME HOUR HOURNAME ICFINALBODY ICFINALBODYNAME
#> 1 Not Transported for Treatment 9 9:00am-9:59am 0 Not Applicable
#> 2 EMS Ground 9 9:00am-9:59am 0 Not Applicable
#> 3 Not Transported for Treatment 21 9:00pm-9:59pm 0 Not Applicable
#> 4 EMS Ground 21 9:00pm-9:59pm 0 Not Applicable
#> 5 Not Transported for Treatment 21 9:00pm-9:59pm 0 Not Applicable
#> IMPACT1 IMPACT1NAME IMPACT2 IMPACT2NAME INJ_SEV INJ_SEVNAME
#> 1 12 12 Clock Point NA NA 4 Fatal Injury (K)
#> 2 12 12 Clock Point NA NA 2 Suspected Minor Injury (B)
#> 3 12 12 Clock Point NA NA 1 Possible Injury (C)
#> 4 12 12 Clock Point NA NA 4 Fatal Injury (K)
#> 5 12 12 Clock Point NA NA 1 Possible Injury (C)
#> LAG_HRS LAG_HRSNAME LAG_MINS LAG_MINSNAME LOCATION
#> 1 1 1 17 17 0
#> 2 999 Unknown 99 Unknown 0
#> 3 999 Unknown 99 Unknown 0
#> 4 1 1 10 10 0
#> 5 999 Unknown 99 Unknown 0
#> LOCATIONNAME MAKE MAKENAME MAK_MOD
#> 1 Occupant of a Motor Vehicle 42 Mercedes-Benz 42031
#> 2 Occupant of a Motor Vehicle 35 Nissan/Datsun 35401
#> 3 Occupant of a Motor Vehicle 55 Hyundai 55035
#> 4 Occupant of a Motor Vehicle 55 Hyundai 55035
#> 5 Occupant of a Motor Vehicle 55 Hyundai 55035
#> MAK_MODNAME MAN_COLL
#> 1 Mercedes-Benz 200/220/230/240/ 250/260/280/300/ 320/420 2
#> 2 Nissan/Datsun Pathfinder 2
#> 3 Hyundai Elantra 0
#> 4 Hyundai Elantra 0
#> 5 Hyundai Elantra 0
#> MAN_COLLNAME
#> 1 Front-to-Front
#> 2 Front-to-Front
#> 3 The First Harmful Event was Not a Collision with a Motor Vehicle in Transport
#> 4 The First Harmful Event was Not a Collision with a Motor Vehicle in Transport
#> 5 The First Harmful Event was Not a Collision with a Motor Vehicle in Transport
#> MINUTE MINUTENAME MOD_YEAR MOD_YEARNAME MONTH MONTHNAME N_MOT_NO PER_NO
#> 1 48 48 1988 1988 1 January NA 1
#> 2 48 48 2002 2002 1 January NA 1
#> 3 6 6 2021 2021 1 January NA 1
#> 4 6 6 2021 2021 1 January NA 2
#> 5 6 6 2021 2021 1 January NA 3
#> PER_TYP PER_TYPNAME P_SF1 P_SF1NAME P_SF2
#> 1 1 Driver of a Motor Vehicle In-Transport NA NA NA
#> 2 1 Driver of a Motor Vehicle In-Transport NA NA NA
#> 3 1 Driver of a Motor Vehicle In-Transport NA NA NA
#> 4 2 Passenger of a Motor Vehicle In-Transport NA NA NA
#> 5 2 Passenger of a Motor Vehicle In-Transport NA NA NA
#> P_SF2NAME P_SF3 P_SF3NAME RACE RACENAME REST_MIS REST_MISNAME
#> 1 NA NA NA NA NA 7 None Used/Not Applicable
#> 2 NA NA NA NA NA 0 No Indication of Misuse
#> 3 NA NA NA NA NA 0 No Indication of Misuse
#> 4 NA NA NA NA NA 0 No Indication of Misuse
#> 5 NA NA NA NA NA 0 No Indication of Misuse
#> REST_USE REST_USENAME ROAD_FNC ROAD_FNCNAME ROLLOVER
#> 1 20 None Used/Not Applicable NA NA 0
#> 2 3 Shoulder and Lap Belt Used NA NA 0
#> 3 3 Shoulder and Lap Belt Used NA NA 0
#> 4 3 Shoulder and Lap Belt Used NA NA 0
#> 5 3 Shoulder and Lap Belt Used NA NA 0
#> ROLLOVERNAME RUR_URB RUR_URBNAME SCH_BUS SCH_BUSNAME SEAT_POS
#> 1 No Rollover 2 Urban 0 No 11
#> 2 No Rollover 2 Urban 0 No 11
#> 3 No Rollover 2 Urban 0 No 11
#> 4 No Rollover 2 Urban 0 No 23
#> 5 No Rollover 2 Urban 0 No 13
#> SEAT_POSNAME SEX SEXNAME SPEC_USE SPEC_USENAME STATE
#> 1 Front Seat, Left Side 1 Male 0 No Special Use Noted 24
#> 2 Front Seat, Left Side 1 Male 0 No Special Use Noted 24
#> 3 Front Seat, Left Side 1 Male 0 No Special Use Noted 24
#> 4 Second Seat, Right Side 1 Male 0 No Special Use Noted 24
#> 5 Front Seat, Right Side 2 Female 0 No Special Use Noted 24
#> STATENAME STR_VEH STR_VEHNAME ST_CASE TOW_VEH TOW_VEHNAME VEH_NO VE_FORMS
#> 1 Maryland 0 0 240001 0 No Trailers 1 2
#> 2 Maryland 0 0 240001 0 No Trailers 2 2
#> 3 Maryland 0 0 240002 0 No Trailers 1 2
#> 4 Maryland 0 0 240002 0 No Trailers 1 2
#> 5 Maryland 0 0 240002 0 No Trailers 1 2
#> VPICBODYCLASS VPICBODYCLASSNAME
#> 1 13 Sedan/Saloon
#> 2 7 Sport Utility Vehicle (SUV)/Multi-Purpose Vehicle (MPV)
#> 3 13 Sedan/Saloon
#> 4 13 Sedan/Saloon
#> 5 13 Sedan/Saloon
#> VPICMAKE VPICMAKENAME VPICMODEL VPICMODELNAME WORK_INJ
#> 1 449 Mercedes-Benz 14014 300 9
#> 2 478 Nissan 1911 Pathfinder 8
#> 3 498 Hyundai 2735 Elantra 8
#> 4 498 Hyundai 2735 Elantra 9
#> 5 498 Hyundai 2735 Elantra 8
#> WORK_INJNAME
#> 1 Unknown
#> 2 Not Applicable (not a fatality)
#> 3 Not Applicable (not a fatality)
#> 4 Unknown
#> 5 Not Applicable (not a fatality)