Frequencies for acc_aux dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Frequencies for year variable in acc_aux dataset : Accident | Date-Year | Freq. Percent Cum. ------------+----------------------------------- 1988 | 548 100.00 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for state variable in acc_aux dataset : State | Freq. Percent Cum. ------------+----------------------------------- 43 | 548 100.00 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for county variable in acc_aux dataset : County | Freq. Percent Cum. ------------+----------------------------------- 72 | 548 100.00 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for fatals variable in acc_aux dataset : Accident | Fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 514 93.80 93.80 2 | 32 5.84 99.64 3 | 1 0.18 99.82 4 | 1 0.18 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for st_case variable in acc_aux dataset : State/Case | Number | Freq. Percent Cum. ------------+----------------------------------- 430002 | 1 0.18 0.18 430003 | 1 0.18 0.36 430004 | 1 0.18 0.55 430005 | 1 0.18 0.73 430006 | 1 0.18 0.91 430007 | 1 0.18 1.09 430008 | 1 0.18 1.28 430009 | 1 0.18 1.46 430010 | 1 0.18 1.64 430011 | 1 0.18 1.82 430013 | 1 0.18 2.01 430014 | 1 0.18 2.19 430015 | 1 0.18 2.37 430016 | 1 0.18 2.55 430017 | 1 0.18 2.74 430018 | 1 0.18 2.92 430019 | 1 0.18 3.10 430020 | 1 0.18 3.28 430021 | 1 0.18 3.47 430022 | 1 0.18 3.65 430023 | 1 0.18 3.83 430024 | 1 0.18 4.01 430025 | 1 0.18 4.20 430026 | 1 0.18 4.38 430027 | 1 0.18 4.56 430028 | 1 0.18 4.74 430029 | 1 0.18 4.93 430030 | 1 0.18 5.11 430031 | 1 0.18 5.29 430032 | 1 0.18 5.47 430033 | 1 0.18 5.66 430035 | 1 0.18 5.84 430037 | 1 0.18 6.02 430038 | 1 0.18 6.20 430039 | 1 0.18 6.39 430040 | 1 0.18 6.57 430041 | 1 0.18 6.75 430042 | 1 0.18 6.93 430043 | 1 0.18 7.12 430044 | 1 0.18 7.30 430045 | 1 0.18 7.48 430046 | 1 0.18 7.66 430047 | 1 0.18 7.85 430048 | 1 0.18 8.03 430049 | 1 0.18 8.21 430052 | 1 0.18 8.39 430053 | 1 0.18 8.58 430054 | 1 0.18 8.76 430055 | 1 0.18 8.94 430056 | 1 0.18 9.12 430057 | 1 0.18 9.31 430058 | 1 0.18 9.49 430059 | 1 0.18 9.67 430060 | 1 0.18 9.85 430062 | 1 0.18 10.04 430063 | 1 0.18 10.22 430064 | 1 0.18 10.40 430065 | 1 0.18 10.58 430066 | 1 0.18 10.77 430067 | 1 0.18 10.95 430068 | 1 0.18 11.13 430069 | 1 0.18 11.31 430070 | 1 0.18 11.50 430071 | 1 0.18 11.68 430072 | 1 0.18 11.86 430073 | 1 0.18 12.04 430074 | 1 0.18 12.23 430075 | 1 0.18 12.41 430076 | 1 0.18 12.59 430077 | 1 0.18 12.77 430079 | 1 0.18 12.96 430081 | 1 0.18 13.14 430082 | 1 0.18 13.32 430083 | 1 0.18 13.50 430084 | 1 0.18 13.69 430085 | 1 0.18 13.87 430086 | 1 0.18 14.05 430087 | 1 0.18 14.23 430088 | 1 0.18 14.42 430089 | 1 0.18 14.60 430090 | 1 0.18 14.78 430091 | 1 0.18 14.96 430092 | 1 0.18 15.15 430093 | 1 0.18 15.33 430094 | 1 0.18 15.51 430095 | 1 0.18 15.69 430097 | 1 0.18 15.88 430098 | 1 0.18 16.06 430099 | 1 0.18 16.24 430100 | 1 0.18 16.42 430101 | 1 0.18 16.61 430102 | 1 0.18 16.79 430103 | 1 0.18 16.97 430104 | 1 0.18 17.15 430105 | 1 0.18 17.34 430106 | 1 0.18 17.52 430107 | 1 0.18 17.70 430108 | 1 0.18 17.88 430109 | 1 0.18 18.07 430110 | 1 0.18 18.25 430111 | 1 0.18 18.43 430112 | 1 0.18 18.61 430113 | 1 0.18 18.80 430114 | 1 0.18 18.98 430115 | 1 0.18 19.16 430116 | 1 0.18 19.34 430117 | 1 0.18 19.53 430118 | 1 0.18 19.71 430120 | 1 0.18 19.89 430121 | 1 0.18 20.07 430122 | 1 0.18 20.26 430123 | 1 0.18 20.44 430125 | 1 0.18 20.62 430127 | 1 0.18 20.80 430128 | 1 0.18 20.99 430129 | 1 0.18 21.17 430130 | 1 0.18 21.35 430132 | 1 0.18 21.53 430133 | 1 0.18 21.72 430134 | 1 0.18 21.90 430137 | 1 0.18 22.08 430138 | 1 0.18 22.26 430139 | 1 0.18 22.45 430140 | 1 0.18 22.63 430141 | 1 0.18 22.81 430142 | 1 0.18 22.99 430143 | 1 0.18 23.18 430144 | 1 0.18 23.36 430145 | 1 0.18 23.54 430146 | 1 0.18 23.72 430147 | 1 0.18 23.91 430149 | 1 0.18 24.09 430150 | 1 0.18 24.27 430151 | 1 0.18 24.45 430152 | 1 0.18 24.64 430153 | 1 0.18 24.82 430154 | 1 0.18 25.00 430155 | 1 0.18 25.18 430156 | 1 0.18 25.36 430157 | 1 0.18 25.55 430158 | 1 0.18 25.73 430159 | 1 0.18 25.91 430160 | 1 0.18 26.09 430161 | 1 0.18 26.28 430162 | 1 0.18 26.46 430163 | 1 0.18 26.64 430164 | 1 0.18 26.82 430167 | 1 0.18 27.01 430168 | 1 0.18 27.19 430169 | 1 0.18 27.37 430170 | 1 0.18 27.55 430171 | 1 0.18 27.74 430172 | 1 0.18 27.92 430173 | 1 0.18 28.10 430174 | 1 0.18 28.28 430175 | 1 0.18 28.47 430176 | 1 0.18 28.65 430177 | 1 0.18 28.83 430178 | 1 0.18 29.01 430179 | 1 0.18 29.20 430180 | 1 0.18 29.38 430181 | 1 0.18 29.56 430182 | 1 0.18 29.74 430183 | 1 0.18 29.93 430184 | 1 0.18 30.11 430185 | 1 0.18 30.29 430186 | 1 0.18 30.47 430187 | 1 0.18 30.66 430188 | 1 0.18 30.84 430194 | 1 0.18 31.02 430195 | 1 0.18 31.20 430199 | 1 0.18 31.39 430200 | 1 0.18 31.57 430201 | 1 0.18 31.75 430202 | 1 0.18 31.93 430203 | 1 0.18 32.12 430204 | 1 0.18 32.30 430205 | 1 0.18 32.48 430206 | 1 0.18 32.66 430207 | 1 0.18 32.85 430208 | 1 0.18 33.03 430209 | 1 0.18 33.21 430211 | 1 0.18 33.39 430212 | 1 0.18 33.58 430214 | 1 0.18 33.76 430215 | 1 0.18 33.94 430216 | 1 0.18 34.12 430217 | 1 0.18 34.31 430218 | 1 0.18 34.49 430219 | 1 0.18 34.67 430220 | 1 0.18 34.85 430222 | 1 0.18 35.04 430223 | 1 0.18 35.22 430224 | 1 0.18 35.40 430225 | 1 0.18 35.58 430226 | 1 0.18 35.77 430227 | 1 0.18 35.95 430228 | 1 0.18 36.13 430230 | 1 0.18 36.31 430231 | 1 0.18 36.50 430234 | 1 0.18 36.68 430235 | 1 0.18 36.86 430236 | 1 0.18 37.04 430237 | 1 0.18 37.23 430238 | 1 0.18 37.41 430239 | 1 0.18 37.59 430240 | 1 0.18 37.77 430241 | 1 0.18 37.96 430242 | 1 0.18 38.14 430243 | 1 0.18 38.32 430244 | 1 0.18 38.50 430245 | 1 0.18 38.69 430246 | 1 0.18 38.87 430247 | 1 0.18 39.05 430248 | 1 0.18 39.23 430249 | 1 0.18 39.42 430250 | 1 0.18 39.60 430251 | 1 0.18 39.78 430252 | 1 0.18 39.96 430253 | 1 0.18 40.15 430254 | 1 0.18 40.33 430256 | 1 0.18 40.51 430257 | 1 0.18 40.69 430258 | 1 0.18 40.88 430259 | 1 0.18 41.06 430260 | 1 0.18 41.24 430261 | 1 0.18 41.42 430262 | 1 0.18 41.61 430263 | 1 0.18 41.79 430264 | 1 0.18 41.97 430265 | 1 0.18 42.15 430266 | 1 0.18 42.34 430267 | 1 0.18 42.52 430268 | 1 0.18 42.70 430269 | 1 0.18 42.88 430270 | 1 0.18 43.07 430271 | 1 0.18 43.25 430272 | 1 0.18 43.43 430273 | 1 0.18 43.61 430274 | 1 0.18 43.80 430275 | 1 0.18 43.98 430276 | 1 0.18 44.16 430277 | 1 0.18 44.34 430278 | 1 0.18 44.53 430279 | 1 0.18 44.71 430280 | 1 0.18 44.89 430281 | 1 0.18 45.07 430282 | 1 0.18 45.26 430283 | 1 0.18 45.44 430284 | 1 0.18 45.62 430285 | 1 0.18 45.80 430287 | 1 0.18 45.99 430289 | 1 0.18 46.17 430290 | 1 0.18 46.35 430291 | 1 0.18 46.53 430292 | 1 0.18 46.72 430293 | 1 0.18 46.90 430294 | 1 0.18 47.08 430295 | 1 0.18 47.26 430296 | 1 0.18 47.45 430297 | 1 0.18 47.63 430298 | 1 0.18 47.81 430299 | 1 0.18 47.99 430300 | 1 0.18 48.18 430301 | 1 0.18 48.36 430302 | 1 0.18 48.54 430304 | 1 0.18 48.72 430305 | 1 0.18 48.91 430306 | 1 0.18 49.09 430307 | 1 0.18 49.27 430309 | 1 0.18 49.45 430310 | 1 0.18 49.64 430311 | 1 0.18 49.82 430312 | 1 0.18 50.00 430313 | 1 0.18 50.18 430314 | 1 0.18 50.36 430315 | 1 0.18 50.55 430316 | 1 0.18 50.73 430317 | 1 0.18 50.91 430318 | 1 0.18 51.09 430319 | 1 0.18 51.28 430320 | 1 0.18 51.46 430321 | 1 0.18 51.64 430322 | 1 0.18 51.82 430323 | 1 0.18 52.01 430324 | 1 0.18 52.19 430325 | 1 0.18 52.37 430326 | 1 0.18 52.55 430327 | 1 0.18 52.74 430329 | 1 0.18 52.92 430330 | 1 0.18 53.10 430331 | 1 0.18 53.28 430332 | 1 0.18 53.47 430333 | 1 0.18 53.65 430334 | 1 0.18 53.83 430335 | 1 0.18 54.01 430336 | 1 0.18 54.20 430337 | 1 0.18 54.38 430338 | 1 0.18 54.56 430339 | 1 0.18 54.74 430340 | 1 0.18 54.93 430341 | 1 0.18 55.11 430342 | 1 0.18 55.29 430343 | 1 0.18 55.47 430344 | 1 0.18 55.66 430345 | 1 0.18 55.84 430346 | 1 0.18 56.02 430347 | 1 0.18 56.20 430348 | 1 0.18 56.39 430349 | 1 0.18 56.57 430350 | 1 0.18 56.75 430351 | 1 0.18 56.93 430352 | 1 0.18 57.12 430353 | 1 0.18 57.30 430354 | 1 0.18 57.48 430355 | 1 0.18 57.66 430356 | 1 0.18 57.85 430357 | 1 0.18 58.03 430358 | 1 0.18 58.21 430359 | 1 0.18 58.39 430360 | 1 0.18 58.58 430361 | 1 0.18 58.76 430362 | 1 0.18 58.94 430363 | 1 0.18 59.12 430364 | 1 0.18 59.31 430365 | 1 0.18 59.49 430366 | 1 0.18 59.67 430368 | 1 0.18 59.85 430369 | 1 0.18 60.04 430370 | 1 0.18 60.22 430371 | 1 0.18 60.40 430373 | 1 0.18 60.58 430374 | 1 0.18 60.77 430375 | 1 0.18 60.95 430376 | 1 0.18 61.13 430377 | 1 0.18 61.31 430379 | 1 0.18 61.50 430380 | 1 0.18 61.68 430381 | 1 0.18 61.86 430382 | 1 0.18 62.04 430383 | 1 0.18 62.23 430384 | 1 0.18 62.41 430385 | 1 0.18 62.59 430386 | 1 0.18 62.77 430387 | 1 0.18 62.96 430388 | 1 0.18 63.14 430389 | 1 0.18 63.32 430392 | 1 0.18 63.50 430393 | 1 0.18 63.69 430394 | 1 0.18 63.87 430395 | 1 0.18 64.05 430396 | 1 0.18 64.23 430397 | 1 0.18 64.42 430398 | 1 0.18 64.60 430399 | 1 0.18 64.78 430400 | 1 0.18 64.96 430401 | 1 0.18 65.15 430402 | 1 0.18 65.33 430404 | 1 0.18 65.51 430405 | 1 0.18 65.69 430406 | 1 0.18 65.88 430407 | 1 0.18 66.06 430408 | 1 0.18 66.24 430409 | 1 0.18 66.42 430410 | 1 0.18 66.61 430411 | 1 0.18 66.79 430412 | 1 0.18 66.97 430413 | 1 0.18 67.15 430414 | 1 0.18 67.34 430415 | 1 0.18 67.52 430416 | 1 0.18 67.70 430417 | 1 0.18 67.88 430418 | 1 0.18 68.07 430419 | 1 0.18 68.25 430420 | 1 0.18 68.43 430421 | 1 0.18 68.61 430422 | 1 0.18 68.80 430423 | 1 0.18 68.98 430424 | 1 0.18 69.16 430425 | 1 0.18 69.34 430426 | 1 0.18 69.53 430427 | 1 0.18 69.71 430428 | 1 0.18 69.89 430429 | 1 0.18 70.07 430430 | 1 0.18 70.26 430431 | 1 0.18 70.44 430432 | 1 0.18 70.62 430433 | 1 0.18 70.80 430434 | 1 0.18 70.99 430437 | 1 0.18 71.17 430438 | 1 0.18 71.35 430439 | 1 0.18 71.53 430440 | 1 0.18 71.72 430441 | 1 0.18 71.90 430442 | 1 0.18 72.08 430443 | 1 0.18 72.26 430444 | 1 0.18 72.45 430445 | 1 0.18 72.63 430446 | 1 0.18 72.81 430447 | 1 0.18 72.99 430448 | 1 0.18 73.18 430449 | 1 0.18 73.36 430450 | 1 0.18 73.54 430451 | 1 0.18 73.72 430453 | 1 0.18 73.91 430454 | 1 0.18 74.09 430455 | 1 0.18 74.27 430456 | 1 0.18 74.45 430457 | 1 0.18 74.64 430458 | 1 0.18 74.82 430459 | 1 0.18 75.00 430460 | 1 0.18 75.18 430461 | 1 0.18 75.36 430462 | 1 0.18 75.55 430463 | 1 0.18 75.73 430464 | 1 0.18 75.91 430465 | 1 0.18 76.09 430466 | 1 0.18 76.28 430467 | 1 0.18 76.46 430468 | 1 0.18 76.64 430469 | 1 0.18 76.82 430470 | 1 0.18 77.01 430471 | 1 0.18 77.19 430472 | 1 0.18 77.37 430473 | 1 0.18 77.55 430474 | 1 0.18 77.74 430475 | 1 0.18 77.92 430476 | 1 0.18 78.10 430477 | 1 0.18 78.28 430478 | 1 0.18 78.47 430479 | 1 0.18 78.65 430480 | 1 0.18 78.83 430481 | 1 0.18 79.01 430482 | 1 0.18 79.20 430483 | 1 0.18 79.38 430484 | 1 0.18 79.56 430485 | 1 0.18 79.74 430486 | 1 0.18 79.93 430487 | 1 0.18 80.11 430488 | 1 0.18 80.29 430489 | 1 0.18 80.47 430490 | 1 0.18 80.66 430491 | 1 0.18 80.84 430492 | 1 0.18 81.02 430493 | 1 0.18 81.20 430494 | 1 0.18 81.39 430495 | 1 0.18 81.57 430496 | 1 0.18 81.75 430497 | 1 0.18 81.93 430498 | 1 0.18 82.12 430499 | 1 0.18 82.30 430500 | 1 0.18 82.48 430501 | 1 0.18 82.66 430502 | 1 0.18 82.85 430503 | 1 0.18 83.03 430504 | 1 0.18 83.21 430505 | 1 0.18 83.39 430506 | 1 0.18 83.58 430507 | 1 0.18 83.76 430508 | 1 0.18 83.94 430509 | 1 0.18 84.12 430510 | 1 0.18 84.31 430511 | 1 0.18 84.49 430512 | 1 0.18 84.67 430513 | 1 0.18 84.85 430514 | 1 0.18 85.04 430515 | 1 0.18 85.22 430516 | 1 0.18 85.40 430517 | 1 0.18 85.58 430518 | 1 0.18 85.77 430519 | 1 0.18 85.95 430520 | 1 0.18 86.13 430521 | 1 0.18 86.31 430522 | 1 0.18 86.50 430523 | 1 0.18 86.68 430524 | 1 0.18 86.86 430525 | 1 0.18 87.04 430526 | 1 0.18 87.23 430528 | 1 0.18 87.41 430529 | 1 0.18 87.59 430530 | 1 0.18 87.77 430531 | 1 0.18 87.96 430532 | 1 0.18 88.14 430533 | 1 0.18 88.32 430534 | 1 0.18 88.50 430535 | 1 0.18 88.69 430536 | 1 0.18 88.87 430537 | 1 0.18 89.05 430538 | 1 0.18 89.23 430539 | 1 0.18 89.42 430540 | 1 0.18 89.60 430541 | 1 0.18 89.78 430542 | 1 0.18 89.96 430543 | 1 0.18 90.15 430544 | 1 0.18 90.33 430545 | 1 0.18 90.51 430546 | 1 0.18 90.69 430547 | 1 0.18 90.88 430548 | 1 0.18 91.06 430549 | 1 0.18 91.24 430550 | 1 0.18 91.42 430551 | 1 0.18 91.61 430552 | 1 0.18 91.79 430553 | 1 0.18 91.97 430554 | 1 0.18 92.15 430555 | 1 0.18 92.34 430556 | 1 0.18 92.52 430557 | 1 0.18 92.70 430558 | 1 0.18 92.88 430559 | 1 0.18 93.07 430561 | 1 0.18 93.25 430562 | 1 0.18 93.43 430563 | 1 0.18 93.61 430564 | 1 0.18 93.80 430565 | 1 0.18 93.98 430566 | 1 0.18 94.16 430567 | 1 0.18 94.34 430568 | 1 0.18 94.53 430569 | 1 0.18 94.71 430570 | 1 0.18 94.89 430571 | 1 0.18 95.07 430572 | 1 0.18 95.26 430573 | 1 0.18 95.44 430574 | 1 0.18 95.62 430575 | 1 0.18 95.80 430576 | 1 0.18 95.99 430577 | 1 0.18 96.17 430578 | 1 0.18 96.35 430579 | 1 0.18 96.53 430580 | 1 0.18 96.72 430581 | 1 0.18 96.90 430582 | 1 0.18 97.08 430585 | 1 0.18 97.26 430586 | 1 0.18 97.45 430587 | 1 0.18 97.63 430588 | 1 0.18 97.81 430589 | 1 0.18 97.99 430590 | 1 0.18 98.18 430591 | 1 0.18 98.36 430592 | 1 0.18 98.54 430593 | 1 0.18 98.72 430594 | 1 0.18 98.91 430595 | 1 0.18 99.09 430596 | 1 0.18 99.27 430597 | 1 0.18 99.45 430598 | 1 0.18 99.64 430599 | 1 0.18 99.82 430600 | 1 0.18 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 548 100.00 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 548 100.00 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 234 42.70 42.70 2 | 309 56.39 99.09 3 | 5 0.91 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 1 | 24 4.38 4.38 2 | 519 94.71 99.09 3 | 5 0.91 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 347 63.32 63.32 2 | 74 13.50 76.82 3 | 4 0.73 77.55 4 | 123 22.45 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 60 10.95 10.95 2 | 487 88.87 99.82 3 | 1 0.18 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 1 | 24 4.38 4.38 2 | 54 9.85 14.23 3 | 85 15.51 29.74 4 | 91 16.61 46.35 5 | 147 26.82 73.18 6 | 142 25.91 99.09 7 | 5 0.91 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 60 10.95 10.95 2 | 481 87.77 98.72 3 | 6 1.09 99.82 4 | 1 0.18 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 384 70.07 70.07 2 | 21 3.83 73.91 3 | 87 15.88 89.78 4 | 37 6.75 96.53 5 | 11 2.01 98.54 6 | 8 1.46 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 3 | 548 100.00 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 203 37.04 37.04 2 | 345 62.96 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 248 45.26 45.26 2 | 300 54.74 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 54 9.85 9.85 2 | 494 90.15 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 375 68.43 68.43 2 | 152 27.74 96.17 3 | 21 3.83 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 1 | 3 0.55 0.55 2 | 545 99.45 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 35 6.39 6.39 2 | 513 93.61 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 278 50.73 50.73 2 | 270 49.27 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 200 36.50 36.50 2 | 348 63.50 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 20 3.65 3.65 2 | 528 96.35 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 64 11.68 11.68 2 | 484 88.32 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 2 | 548 100.00 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 165 30.11 30.11 2 | 65 11.86 41.97 3 | 318 58.03 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 60 10.95 10.95 2 | 488 89.05 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 58 10.58 10.58 2 | 490 89.42 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 77 14.05 14.05 2 | 471 85.95 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 75 13.69 13.69 2 | 473 86.31 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 28 5.11 5.11 2 | 520 94.89 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 101 18.43 18.43 2 | 447 81.57 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 169 30.84 30.84 2 | 379 69.16 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 3 0.55 0.55 2 | 545 99.45 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 1 0.18 0.18 2 | 547 99.82 100.00 ------------+----------------------------------- Total | 548 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016