The goal of rfars is to facilitate transportation safety
analysis by simplifying the process of extracting data from official
crash databases. The National Highway
Traffic Safety Administration collects and publishes a census of
fatal crashes in the Fatality
Analysis Reporting System and a sample of fatal and non-fatal
crashes in the Crash
Report Sampling System (an evolution of the General
Estimates System). The Fatality
and Injury Reporting System Tool allows users to query these
databases, and can produce simple tables and graphs. This suffices for
simple analysis, but often leaves researchers wanting more. Digging any
deeper, however, involves a time-consuming process of downloading annual
ZIP files and attempting to stitch them together - after first combing
through immense data dictionaries to determine the required variables
and table names.
rfars allows users to download FARS and GES/CRSS data
back to 2011 with just one line of code. The result is a full, rich
dataset ready for mapping, modeling, and other downstream analysis.
Helper functions are also provided to produce common counts and
comparisons.
You can install the latest version of rfars from GitHub with:
# install.packages("devtools")
devtools::install_github("s87jackson/rfars")or the CRAN stable release with:
install.packages("rfars")Then load rfars and some helpful packages:
library(rfars)
library(dplyr)The get_fars() and get_gescrss() are the
primary functions of the rfars package. These functions
either download and process data files directly from NHTSA’s
FTP Site, or pull the prepared file stored on your local machine.
They take the functions years and states
(FARS) or regions (GES/CRSS). As the source data files
follow an annual structure, years determines how many file
sets are downloaded, and states/regions
filters the resulting dataset. Downloading and processing these files
can take several minutes. Before downloading rfars will
inform you that it’s about to download files and asks your permission to
do so. To skip this dialog, set proceed = TRUE. You can use
the dir and cache parameters to save an RDS
file to your local machine. The dir parameter specifices
the directory, and cache names the file (be sure to include
the .rds file extension).
Here we get one year of FARS data for Virginia:
myFARS <- get_fars(years = 2022, states = "VA", proceed = TRUE)
#> ✓ 2022 data downloaded
#> Preparing raw data files...
#> ✓ Accident file processed
#> ✓ Vehicle file processed
#> ✓ Person file processed
#> ✓ Weather file(s) processed
#> ✓ Crash risk factors file processed
#> ✓ Vehicle-level files processed
#> ✓ PBtype file processed
#> ✓ SafetyEq file processed
#> ✓ Person-level files processed
#> ✓ Flat file constructed
#> ✓ Multi_acc file constructed
#> ✓ Multi_veh file constructed
#> ✓ Multi_per file constructed
#> ✓ SOE file constructed
#> ✓ Prepared files saved in C:/Users/s87ja/AppData/Local/Temp/RtmpOI3o4P/FARS data/prepd/2022
#> ✓ Codebook file saved in C:/Users/s87ja/AppData/Local/Temp/RtmpOI3o4P/FARS data/prepd/We could have saved that file locally with:
myFARS <- get_fars(years=2022, states = "VA", proceed = TRUE, dir = getwd(), cache = "myFARS.rds")Note that you can assign and save this data with one function call.
We could similarly get one year of CRSS data for the south (MD, DE, DC, WV, VA, KY, TN, NC, SC, GA, FL, AL, MS, LA, AR, OK, TX):
myCRSS <- get_gescrss(years = 2022, regions = "s", proceed = TRUE)
myCRSS <- get_gescrss(years = 2022, regions = "s", proceed = TRUE, dir = getwd(), cache = "myCRSS.rds")The data returned by get_fars() and
get_gescrss() adhere to the same structure: a list with six
tibbles: flat, multi_acc,
multi_veh, multi_per, events, and
codebook. FARS and GES/CRSS share many but not all data
elements. See the FARS
Analytical User’s Manual and CRSS
Analytical User’s Manual for more information.
The following section decribes the results from
get_fars() but largely applies to
get_gescrss() as well.
The flat tibble contains all variables for which there
is just one value per crash (“accident”), vehicle, or person (e.g.,
intersection type, travel speed, age). Each row corresponds to a person
involved in a crash. As there may be multiple people and/or vehicles
involved in one crash, some variable-values are repeated within a crash
or vehicle. Each crash is uniquely identified with id,
which is a combination of year and st_case.
Note that st_case is not unique across years, for example,
st_case 510001 will appear in each year. The
id variable attempts to avoid this issue.
glimpse(myFARS$flat, width = 100)
#> Rows: 2,107
#> Columns: 196
#> $ year <dbl> 2022, 2022, 2022, 2022, 2022, 2022, 2022, 2022, 2022, 2022, 2022, 2022, 2022…
#> $ state <chr> "Virginia", "Virginia", "Virginia", "Virginia", "Virginia", "Virginia", "Vir…
#> $ st_case <dbl> 510001, 510001, 510001, 510001, 510001, 510001, 510002, 510002, 510002, 5100…
#> $ id <dbl> 2022510001, 2022510001, 2022510001, 2022510001, 2022510001, 2022510001, 2022…
#> $ veh_no <dbl> 0, 1, 1, 1, 1, 1, 1, 2, 2, 0, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2…
#> $ per_no <dbl> 1, 1, 2, 3, 4, 5, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1…
#> $ county <dbl> 117, 117, 117, 117, 117, 117, 177, 177, 177, 73, 73, 73, 153, 155, 171, 171,…
#> $ city <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2370, 2370, 0, 0, 468, 0, 0, 440, …
#> $ lon <dbl> -78.40886, -78.40886, -78.40886, -78.40886, -78.40886, -78.40886, -77.63212,…
#> $ lat <dbl> 36.66222, 36.66222, 36.66222, 36.66222, 36.66222, 36.66222, 38.17428, 38.174…
#> $ acc_type <chr> NA, "C13-Single Driver-Forward Impact-Pedestrian/ Animal", "C13-Single Drive…
#> $ age <chr> "59 Years", "17 Years", "Not Reported", "Not Reported", "Not Reported", "Not…
#> $ air_bag <chr> "Not a Motor Vehicle Occupant", "Not Deployed", "Not Reported", "Not Reporte…
#> $ alc_res <chr> "0.197 % BAC", "Test Not Given", "Test Not Given", "Test Not Given", "Test N…
#> $ alc_status <chr> "Test Given", "Test Not Given", "Test Not Given", "Test Not Given", "Test No…
#> $ arr_hour <chr> "Unknown EMS Scene Arrival Hour", "Unknown EMS Scene Arrival Hour", "Unknown…
#> $ arr_min <chr> "Unknown if Arrived", "Unknown if Arrived", "Unknown if Arrived", "Unknown i…
#> $ atst_typ <chr> "Vitreous", "Test Not Given", "Test Not Given", "Test Not Given", "Test Not …
#> $ bikecgp <chr> "Bicyclist Failed to Yield - Sign-Controlled Intersection", NA, NA, NA, NA, …
#> $ bikectype <chr> "Bicyclist Ride Through - Sign-Controlled Intersection", NA, NA, NA, NA, NA,…
#> $ bikedir <chr> "Facing Traffic", NA, NA, NA, NA, NA, NA, NA, NA, "Not a Cyclist", NA, NA, N…
#> $ bikeloc <chr> "At Intersection", NA, NA, NA, NA, NA, NA, NA, NA, "Not a Cyclist", NA, NA, …
#> $ bikepos <chr> "Travel Lane", NA, NA, NA, NA, NA, NA, NA, NA, "Not a Cyclist", NA, NA, NA, …
#> $ body_typ <chr> NA, "Large utility (ANSI D16.1 Utility Vehicle Categories and \"Full Size\" …
#> $ bus_use <chr> NA, "Not a Bus", "Not a Bus", "Not a Bus", "Not a Bus", "Not a Bus", "Not a …
#> $ cargo_bt <chr> NA, "Not Applicable (N/A)", "Not Applicable (N/A)", "Not Applicable (N/A)", …
#> $ cdl_stat <chr> NA, "No (CDL)", "No (CDL)", "No (CDL)", "No (CDL)", "No (CDL)", "No (CDL)", …
#> $ cityname <chr> "NOT APPLICABLE", "NOT APPLICABLE", "NOT APPLICABLE", "NOT APPLICABLE", "NOT…
#> $ countyname <chr> "MECKLENBURG (117)", "MECKLENBURG (117)", "MECKLENBURG (117)", "MECKLENBURG …
#> $ day <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 5, 3, 3, 5, 8, 2, 8, 8, 1, 1, 1, 7, 7…
#> $ day_week <chr> "Saturday", "Saturday", "Saturday", "Saturday", "Saturday", "Saturday", "Sat…
#> $ death_da <chr> "1", "Not Applicable (Non-Fatal)", "Not Applicable (Non-Fatal)", "Not Applic…
#> $ death_hr <chr> "16:00-16:59", "Not Applicable (Non-fatal)", "Not Applicable (Non-fatal)", "…
#> $ death_mn <chr> "28", "Not Applicable (Non-fatal)", "Not Applicable (Non-fatal)", "Not Appli…
#> $ death_mo <chr> "January", "Not Applicable (Non-Fatal)", "Not Applicable (Non-Fatal)", "Not …
#> $ death_tm <chr> "1628", "Not Applicable (Non-fatal)", "Not Applicable (Non-fatal)", "Not App…
#> $ death_yr <chr> "2022", "Not Applicable (Non-fatal)", "Not Applicable (Non-fatal)", "Not App…
#> $ deaths <dbl> NA, 0, 0, 0, 0, 0, 0, 1, 1, NA, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1,…
#> $ deformed <chr> NA, "7", "7", "7", "7", "7", "Disabling Damage", "Disabling Damage", "Disabl…
#> $ devmotor <dbl> 3, NA, NA, NA, NA, NA, NA, NA, NA, 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ devtype <dbl> 3, NA, NA, NA, NA, NA, NA, NA, NA, 0, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ doa <chr> "Died at Scene", "Not Applicable", "Not Applicable", "Not Applicable", "Not …
#> $ dr_drink <chr> NA, "No", "No", "No", "No", "No", "No", "No", "No", NA, "No", "No", "Yes", "…
#> $ dr_hgt <chr> NA, "69", "69", "69", "69", "69", "62", "63", "63", NA, "67", "69", "67", "7…
#> $ dr_pres <chr> NA, "Yes", "Yes", "Yes", "Yes", "Yes", "Yes", "Yes", "Yes", NA, "Yes", "Yes"…
#> $ dr_wgt <chr> NA, "130 lbs.", "130 lbs.", "130 lbs.", "130 lbs.", "130 lbs.", "140 lbs.", …
#> $ dr_zip <chr> NA, "23893", "23893", "23893", "23893", "23893", "23024", "22551", "22551", …
#> $ drinking <chr> "Reported as Unknown", "No (Alcohol Not Involved)", "Not Reported", "Not Rep…
#> $ drugs <chr> "Reported as Unknown", "No (drugs not involved)", "Not Reported", "Not Repor…
#> $ dstatus <chr> "Test Given", "Test Not Given", "Test Not Given", "Test Not Given", "Test No…
#> $ ej_path <chr> "Ejection Path Not Applicable", "Ejection Path Not Applicable", "Ejection Pa…
#> $ ejection <chr> "Not Applicable", "Not Ejected", "Not Reported", "Not Reported", "Not Report…
#> $ emer_use <chr> NA, "Not Applicable", "Not Applicable", "Not Applicable", "Not Applicable", …
#> $ extricat <chr> "Not Extricated or Not Applicable", "Not Extricated or Not Applicable", "Not…
#> $ fatals <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
#> $ fire_exp <chr> NA, "No or Not Reported", "No or Not Reported", "No or Not Reported", "No or…
#> $ first_mo <chr> NA, "November", "November", "November", "November", "November", "No Record",…
#> $ first_yr <chr> NA, "2021", "2021", "2021", "2021", "2021", "No Record", "No Record", "No Re…
#> $ func_sys <chr> "Principal Arterial - Other", "Principal Arterial - Other", "Principal Arter…
#> $ gvwr_from <chr> NA, "Class 2: 6,001 - 10,000 lbs. (2,722 - 4,536 kg)", "Class 2: 6,001 - 10,…
#> $ gvwr_to <chr> NA, "Class 2: 6,001 - 10,000 lbs. (2,722 - 4,536 kg)", "Class 2: 6,001 - 10,…
#> $ harm_ev <chr> "Pedalcyclist", "Pedalcyclist", "Pedalcyclist", "Pedalcyclist", "Pedalcyclis…
#> $ haz_cno <chr> NA, "Not Applicable", "Not Applicable", "Not Applicable", "Not Applicable", …
#> $ haz_id <chr> NA, "Not Applicable", "Not Applicable", "Not Applicable", "Not Applicable", …
#> $ haz_inv <chr> NA, "No", "No", "No", "No", "No", "No", "No", "No", NA, "No", "No", "No", "N…
#> $ haz_plac <chr> NA, "Not Applicable", "Not Applicable", "Not Applicable", "Not Applicable", …
#> $ haz_rel <chr> NA, "Not Applicable", "Not Applicable", "Not Applicable", "Not Applicable", …
#> $ helm_mis <chr> "Not a Motor Vehicle Occupant", "None Used/Not Applicable", "None Used/Not A…
#> $ helm_use <chr> "Not a Motor Vehicle Occupant", "Not Applicable", "Not Applicable", "Not App…
#> $ hispanic <chr> "Non-Hispanic", "Not A Fatality (not Applicable)", "Not A Fatality (not Appl…
#> $ hit_run <chr> NA, "No", "No", "No", "No", "No", "No", "No", "No", NA, "No", "No", "No", "N…
#> $ hosp_hr <chr> "Not Applicable (Not Transported)", "Not Applicable (Not Transported)", "Not…
#> $ hosp_mn <chr> "Not Applicable (Not Transported)", "Not Applicable (Not Transported)", "Not…
#> $ hospital <chr> "Not Transported for Treatment", "Not Transported for Treatment", "Not Trans…
#> $ hour <chr> "4:00pm-4:59pm", "4:00pm-4:59pm", "4:00pm-4:59pm", "4:00pm-4:59pm", "4:00pm-…
#> $ icfinalbody <chr> NA, "Not Applicable", "Not Applicable", "Not Applicable", "Not Applicable", …
#> $ impact1 <chr> NA, "12 Clock Point", "12 Clock Point", "12 Clock Point", "12 Clock Point", …
#> $ inj_sev <chr> "Fatal Injury (K)", "No Apparent Injury (O)", "No Apparent Injury (O)", "No …
#> $ j_knife <chr> NA, "Not an Articulated Vehicle", "Not an Articulated Vehicle", "Not an Arti…
#> $ l_compl <chr> NA, "Valid license for this class vehicle", "Valid license for this class ve…
#> $ l_endors <chr> NA, "No Endorsements required for this vehicle", "No Endorsements required f…
#> $ l_restri <chr> NA, "Restrictions, Compliance Unknown", "Restrictions, Compliance Unknown", …
#> $ l_state <chr> NA, "Virginia", "Virginia", "Virginia", "Virginia", "Virginia", "Virginia", …
#> $ l_status <chr> NA, "Valid", "Valid", "Valid", "Valid", "Valid", "Valid", "Valid", "Valid", …
#> $ l_type <chr> NA, "Full Driver License", "Full Driver License", "Full Driver License", "Fu…
#> $ lag_hrs <chr> "0", "Unknown", "Unknown", "Unknown", "Unknown", "Unknown", "Unknown", "Unkn…
#> $ lag_mins <chr> "6", "Unknown", "Unknown", "Unknown", "Unknown", "Unknown", "Unknown", "Unkn…
#> $ last_mo <chr> NA, "November", "November", "November", "November", "November", "No Record",…
#> $ last_yr <chr> NA, "2021", "2021", "2021", "2021", "2021", "No Record", "No Record", "No Re…
#> $ lgt_cond <chr> "Daylight", "Daylight", "Daylight", "Daylight", "Daylight", "Daylight", "Day…
#> $ location <chr> "At Intersection - Not In Crosswalk", "Occupant of a Motor Vehicle", "Occupa…
#> $ m_harm <chr> NA, "Pedalcyclist", "Pedalcyclist", "Pedalcyclist", "Pedalcyclist", "Pedalcy…
#> $ mak_mod <chr> NA, "GMC Fullsize Jimmy/Yukon", "GMC Fullsize Jimmy/Yukon", "GMC Fullsize Ji…
#> $ make <chr> NA, "GMC", "GMC", "GMC", "GMC", "GMC", "Chevrolet", "Ford", "Ford", NA, "Int…
#> $ man_coll <chr> "The First Harmful Event was Not a Collision with a Motor Vehicle in Transpo…
#> $ mcarr_i1 <chr> NA, "Not Applicable", "Not Applicable", "Not Applicable", "Not Applicable", …
#> $ mcarr_i2 <chr> NA, "Not Applicable", "Not Applicable", "Not Applicable", "Not Applicable", …
#> $ mcarr_id <chr> NA, "Not Applicable", "Not Applicable", "Not Applicable", "Not Applicable", …
#> $ milept <chr> "3586", "3586", "3586", "3586", "3586", "3586", "370", "370", "370", "101", …
#> $ minute <chr> "22", "22", "22", "22", "22", "22", "55", "55", "55", "35", "35", "35", "11"…
#> $ mod_year <chr> NA, "2016", "2016", "2016", "2016", "2016", "2019", "2008", "2008", NA, "201…
#> $ model <dbl> NA, 421, 421, 421, 421, 421, 422, 481, 481, NA, 881, 37, 43, 404, 32, 881, 4…
#> $ month <chr> "January", "January", "January", "January", "January", "January", "January",…
#> $ motdir <chr> "Not a Pedestrian", NA, NA, NA, NA, NA, NA, NA, NA, "Not Applicable", NA, NA…
#> $ motman <chr> "Not a Pedestrian", NA, NA, NA, NA, NA, NA, NA, NA, "Not Applicable", NA, NA…
#> $ nhs <chr> "This section IS ON the NHS", "This section IS ON the NHS", "This section IS…
#> $ nmhelmet <chr> "Not Reported", NA, NA, NA, NA, NA, NA, NA, NA, "Not Reported", NA, NA, NA, …
#> $ nmlight <chr> "Not Reported", NA, NA, NA, NA, NA, NA, NA, NA, "Not Reported", NA, NA, NA, …
#> $ nmothpre <chr> "Not Reported", NA, NA, NA, NA, NA, NA, NA, NA, "Not Reported", NA, NA, NA, …
#> $ nmothpro <chr> "Not Reported", NA, NA, NA, NA, NA, NA, NA, NA, "Not Reported", NA, NA, NA, …
#> $ nmpropad <chr> "Not Reported", NA, NA, NA, NA, NA, NA, NA, NA, "Not Reported", NA, NA, NA, …
#> $ nmrefclo <chr> "Not Reported", NA, NA, NA, NA, NA, NA, NA, NA, "Not Reported", NA, NA, NA, …
#> $ not_hour <chr> "Unknown", "Unknown", "Unknown", "Unknown", "Unknown", "Unknown", "Unknown",…
#> $ not_min <chr> "Unknown if Notified", "Unknown if Notified", "Unknown if Notified", "Unknow…
#> $ numoccs <chr> NA, "05", "05", "05", "05", "05", "01", "02", "02", NA, "01", "01", "01", "0…
#> $ owner <chr> NA, "Driver (in this crash) Not Registered Owner (Other Private Owner Listed…
#> $ p_crash1 <chr> NA, "Negotiating a Curve", "Negotiating a Curve", "Negotiating a Curve", "Ne…
#> $ p_crash2 <chr> NA, "Pedalcyclist or other non-motorist in road", "Pedalcyclist or other non…
#> $ p_crash3 <chr> NA, "Unknown/Not Reported", "Unknown/Not Reported", "Unknown/Not Reported", …
#> $ pbcwalk <chr> "None Noted", NA, NA, NA, NA, NA, NA, NA, NA, "None Noted", NA, NA, NA, NA, …
#> $ pbswalk <chr> "None Noted", NA, NA, NA, NA, NA, NA, NA, NA, "None Noted", NA, NA, NA, NA, …
#> $ pbszone <chr> "None Noted", NA, NA, NA, NA, NA, NA, NA, NA, "None Noted", NA, NA, NA, NA, …
#> $ pcrash4 <chr> NA, "Tracking", "Tracking", "Tracking", "Tracking", "Tracking", "Tracking", …
#> $ pcrash5 <chr> NA, "Stayed in original travel lane", "Stayed in original travel lane", "Sta…
#> $ pedcgp <chr> "Not a Pedestrian", NA, NA, NA, NA, NA, NA, NA, NA, "Unusual Circumstances",…
#> $ pedctype <chr> "Not a Pedestrian", NA, NA, NA, NA, NA, NA, NA, NA, "Disabled Vehicle-Relate…
#> $ peddir <chr> "Not a Pedestrian", NA, NA, NA, NA, NA, NA, NA, NA, "Not Applicable", NA, NA…
#> $ pedleg <chr> "Not a Pedestrian", NA, NA, NA, NA, NA, NA, NA, NA, "Not Applicable", NA, NA…
#> $ pedloc <chr> "Not a Pedestrian", NA, NA, NA, NA, NA, NA, NA, NA, "Not At Intersection", N…
#> $ pedpos <chr> "Not a Pedestrian", NA, NA, NA, NA, NA, NA, NA, NA, "Other/Unknown", NA, NA,…
#> $ peds <dbl> 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
#> $ pedsnr <chr> "Not a Pedestrian", NA, NA, NA, NA, NA, NA, NA, NA, "Not Applicable", NA, NA…
#> $ per_typ <chr> "Bicyclist", "Driver of a Motor Vehicle In-Transport", "Passenger of a Motor…
#> $ permvit <dbl> 5, 5, 5, 5, 5, 5, 3, 3, 3, 2, 2, 2, 1, 1, 2, 2, 1, 1, 1, 2, 2, 3, 3, 3, 3, 3…
#> $ pernotmvit <dbl> 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
#> $ persons <dbl> 5, 5, 5, 5, 5, 5, 3, 3, 3, 2, 2, 2, 1, 1, 2, 2, 1, 1, 1, 2, 2, 3, 3, 3, 3, 3…
#> $ prev_acc <chr> NA, "1", "1", "1", "1", "1", "None", "None", "None", NA, "3", "None", "None"…
#> $ prev_dwi <chr> NA, "None", "None", "None", "None", "None", "None", "None", "None", NA, "Non…
#> $ prev_oth <chr> NA, "None", "None", "None", "None", "None", "None", "None", "None", NA, "4",…
#> $ prev_spd <chr> NA, "None", "None", "None", "None", "None", "None", "None", "None", NA, "2",…
#> $ prev_sus1 <chr> NA, "None", "None", "None", "None", "None", "None", "None", "None", NA, "Non…
#> $ prev_sus2 <chr> NA, "None", "None", "None", "None", "None", "None", "None", "None", NA, "Non…
#> $ prev_sus3 <chr> NA, "None", "None", "None", "None", "None", "None", "None", "None", NA, "4",…
#> $ pvh_invl <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
#> $ rail <chr> "Not Applicable", "Not Applicable", "Not Applicable", "Not Applicable", "Not…
#> $ rd_owner <chr> "State Highway Agency", "State Highway Agency", "State Highway Agency", "Sta…
#> $ reg_stat <chr> NA, "Virginia", "Virginia", "Virginia", "Virginia", "Virginia", "Virginia", …
#> $ rel_road <chr> "On Roadway", "On Roadway", "On Roadway", "On Roadway", "On Roadway", "On Ro…
#> $ reljct1 <chr> "No", "No", "No", "No", "No", "No", "No", "No", "No", "No", "No", "No", "Yes…
#> $ reljct2 <chr> "Intersection-Related", "Intersection-Related", "Intersection-Related", "Int…
#> $ rest_mis <chr> "Not a Motor Vehicle Occupant", "No Indication of Mis-Use", "None Used/Not A…
#> $ rest_use <chr> "Not a Motor Vehicle Occupant", "Shoulder and Lap Belt Used", "Not Reported"…
#> $ rolinloc <chr> NA, "No Rollover", "No Rollover", "No Rollover", "No Rollover", "No Rollover…
#> $ rollover <chr> NA, "No Rollover", "No Rollover", "No Rollover", "No Rollover", "No Rollover…
#> $ route <chr> "U.S. Highway", "U.S. Highway", "U.S. Highway", "U.S. Highway", "U.S. Highwa…
#> $ rur_urb <chr> "Rural", "Rural", "Rural", "Rural", "Rural", "Rural", "Rural", "Rural", "Rur…
#> $ sch_bus <chr> "No", "No", "No", "No", "No", "No", "No", "No", "No", "No", "No", "No", "No"…
#> $ seat_pos <chr> "Not a Motor Vehicle Occupant", "Front Seat, Left Side", "Not Reported", "No…
#> $ sex <chr> "Male", "Male", "Not Reported", "Not Reported", "Not Reported", "Not Reporte…
#> $ sp_jur <chr> "No Special Jurisdiction", "No Special Jurisdiction", "No Special Jurisdicti…
#> $ spec_use <chr> NA, "No Special Use", "No Special Use", "No Special Use", "No Special Use", …
#> $ speedrel <chr> NA, "Yes, Exceeded Speed Limit", "Yes, Exceeded Speed Limit", "Yes, Exceeded…
#> $ statename <chr> "Virginia", "Virginia", "Virginia", "Virginia", "Virginia", "Virginia", "Vir…
#> $ str_veh <dbl> 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
#> $ tow_veh <chr> NA, "No Trailing Units", "No Trailing Units", "No Trailing Units", "No Trail…
#> $ towed <chr> NA, "Not Reported", "Not Reported", "Not Reported", "Not Reported", "Not Rep…
#> $ trav_sp <chr> NA, "060 MPH", "060 MPH", "060 MPH", "060 MPH", "060 MPH", "065 MPH", "Stopp…
#> $ trlr1gvwr <chr> NA, "No Trailing Units", "No Trailing Units", "No Trailing Units", "No Trail…
#> $ trlr1vin <chr> NA, "No Trailing Units", "No Trailing Units", "No Trailing Units", "No Trail…
#> $ trlr2gvwr <chr> NA, "No Trailing Units", "No Trailing Units", "No Trailing Units", "No Trail…
#> $ trlr2vin <chr> NA, "No Trailing Units", "No Trailing Units", "No Trailing Units", "No Trail…
#> $ trlr3gvwr <chr> NA, "No Trailing Units", "No Trailing Units", "No Trailing Units", "No Trail…
#> $ trlr3vin <chr> NA, "No Trailing Units", "No Trailing Units", "No Trailing Units", "No Trail…
#> $ tway_id <chr> "US-58", "US-58", "US-58", "US-58", "US-58", "US-58", "SR-208/LAKE ANNA PKWY…
#> $ tway_id2 <chr> "JEFFERSON ST", "JEFFERSON ST", "JEFFERSON ST", "JEFFERSON ST", "JEFFERSON S…
#> $ typ_int <chr> "Four-Way Intersection", "Four-Way Intersection", "Four-Way Intersection", "…
#> $ underoverride <dbl> NA, 7, 7, 7, 7, 7, 0, 0, 0, NA, 0, 0, 7, 7, 0, 0, 7, 7, 7, 7, 7, 0, 0, 0, 0,…
#> $ unittype <chr> NA, "Motor Vehicle In-Transport (Inside or Outside the Trafficway)", "Motor …
#> $ v_config <chr> NA, "Not Applicable", "Not Applicable", "Not Applicable", "Not Applicable", …
#> $ valign <chr> NA, "Curve - Right", "Curve - Right", "Curve - Right", "Curve - Right", "Cur…
#> $ ve_forms <dbl> 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 1, 1, 2, 2, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2…
#> $ ve_total <dbl> 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 1, 1, 2, 2, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2…
#> $ vin <chr> NA, "1GKS2BKC8GR3", "1GKS2BKC8GR3", "1GKS2BKC8GR3", "1GKS2BKC8GR3", "1GKS2BK…
#> $ vnum_lan <chr> NA, "Five lanes", "Five lanes", "Five lanes", "Five lanes", "Five lanes", "T…
#> $ vpavetyp <chr> NA, "Blacktop, Bituminous, or Asphalt", "Blacktop, Bituminous, or Asphalt", …
#> $ vpicbodyclass <chr> NA, "Sport Utility Vehicle (SUV)/Multi-Purpose Vehicle (MPV)", "Sport Utilit…
#> $ vpicmake <chr> NA, "GMC", "GMC", "GMC", "GMC", "GMC", "Chevrolet", "Ford", "Ford", NA, "Int…
#> $ vpicmodel <chr> NA, "Yukon", "Yukon", "Yukon", "Yukon", "Yukon", "Suburban", "F-150", "F-150…
#> $ vprofile <chr> NA, "Level", "Level", "Level", "Level", "Level", "Level", "Level", "Level", …
#> $ vspd_lim <chr> NA, "55 MPH", "55 MPH", "55 MPH", "55 MPH", "55 MPH", "55 MPH", "55 MPH", "5…
#> $ vsurcond <chr> NA, "Dry", "Dry", "Dry", "Dry", "Dry", "Wet", "Wet", "Wet", NA, "Dry", "Dry"…
#> $ vtcont_f <chr> NA, "No Controls", "No Controls", "No Controls", "No Controls", "No Controls…
#> $ vtrafcon <chr> NA, "No Controls", "No Controls", "No Controls", "No Controls", "No Controls…
#> $ vtrafway <chr> NA, "Two-Way, Not Divided With a Continuous Left-Turn Lane", "Two-Way, Not D…
#> $ work_inj <chr> "No", "Not Applicable (not a fatality)", "Not Applicable (not a fatality)", …
#> $ wrk_zone <chr> "None", "None", "None", "None", "None", "None", "None", "None", "None", "Non…The multi_ tibbles contain those variables for which
there may be a varying number of values for any entity (e.g., driver
impairments, vehicle events, weather conditions at time of crash). Each
tibble has the requisite data elements corresponding to the entity:
multi_acc includes st_case and
year, multi_veh adds veh_no
(vehicle number), and multi_per adds per_no
(person number).
The top name-value pairs of each tibble are shown below.
myFARS$multi_acc %>% filter(!is.na(value)) %>% group_by(name, value) %>% summarize(n=n(), .groups = "drop") %>% arrange(desc(n)) %>% slice(1:10) %>% select(name, value, n) %>% knitr::kable(format = "html")| name | value | n |
|---|---|---|
| weather | Rain | 96 |
| crashrf | Motor Vehicle struck by falling cargo,or something that came loose from or something that was set in motion by a vehicle | 24 |
| crashrf | Indication of a Stalled/Disabled Vehicle | 12 |
| crashrf | Police Pursuit Involved | 11 |
| crashrf | Recent/Previous Crash scene Nearby | 7 |
| weather | Fog, Smog, Smoke | 6 |
| weather | Snow | 4 |
| crashrf | Regular Congestion | 3 |
| crashrf | Non-occupant struck by falling cargo, or something that came loose from, or something that was set in motion by a vehicle | 2 |
| crashrf | 10 | 1 |
myFARS$multi_veh %>% filter(!is.na(value)) %>% group_by(name, value) %>% summarize(n=n(), .groups = "drop") %>% arrange(desc(n)) %>% slice(1:10) %>% select(name, value, n) %>% knitr::kable(format = "html")| name | value | n |
|---|---|---|
| vehiclecc | None Noted | 1352 |
| vision | No Obstruction Noted | 1264 |
| damage | 12 Clock Value | 1093 |
| drdistract | Not Distracted | 1025 |
| damage | 11 Clock Value | 917 |
| damage | 1 Clock Value | 884 |
| drimpair | None/Apparently Normal | 736 |
| damage | 10 Clock Value | 699 |
| damage | 2 Clock Value | 635 |
| damage | 9 Clock Value | 560 |
myFARS$multi_per %>% filter(!is.na(value)) %>% group_by(name, value) %>% summarize(n=n(), .groups = "drop") %>% arrange(desc(n)) %>% slice(1:10) %>% select(name, value, n) %>% knitr::kable(format = "html")| name | value | n |
|---|---|---|
| order | 1 | 2107 |
| multrace | No | 2096 |
| drugspec | Whole Blood | 1292 |
| drugres | Test Not Given | 1236 |
| drugspec | Test Not Given | 1236 |
| race | Not a Fatality (not Applicable) | 1099 |
| race | White | 597 |
| drugres | Tested, No Drugs Found/Negative | 579 |
| drugspec | Vitreous | 353 |
| race | Black or African American | 254 |
The events tibble provides a sequence of numbered events
for each vehicle in each crash. See the vignette for more
information.
head(myFARS$events, 10) %>% knitr::kable(format="html")| state | st_case | veh_no | aoi | soe | veventnum | year |
|---|---|---|---|---|---|---|
| Virginia | 510001 | 1 | 12 Clock Point | Pedalcyclist | 1 | 2022 |
| Virginia | 510002 | 1 | 12 Clock Point | Motor Vehicle In-Transport | 1 | 2022 |
| Virginia | 510002 | 2 | 6 Clock Point | Motor Vehicle In-Transport | 1 | 2022 |
| Virginia | 510003 | 1 | Non-Harmful Event | Ran Off Roadway - Right | 1 | 2022 |
| Virginia | 510003 | 1 | 9 Clock Point | Motor Vehicle In-Transport | 2 | 2022 |
| Virginia | 510003 | 1 | 5 Clock Point | Motor Vehicle In-Transport | 3 | 2022 |
| Virginia | 510003 | 1 | Non-Collision | Rollover/Overturn | 4 | 2022 |
| Virginia | 510003 | 2 | Non-Harmful Event | Ran Off Roadway - Right | 1 | 2022 |
| Virginia | 510003 | 2 | 11 Clock Point | Motor Vehicle In-Transport | 2 | 2022 |
| Virginia | 510003 | 2 | 12 Clock Point | Pedestrian | 3 | 2022 |
The codebook tibble provides a searchable codebook for
the data, useful if you know what concept you’re looking for but not the
variable that describes it. The rfars package includes a
codebook for FARS and GESCRSS (rfars::fars_codebook and
rfars::gescrss_codebook). These tables span 2011-2022
whereas the codebook object returned from
get_fars() and get_gescrss() only include the
specified years. See the vignette for more information.