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. ------------+----------------------------------- 1985 | 533 100.00 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for state variable in acc_aux dataset : State | Freq. Percent Cum. ------------+----------------------------------- 43 | 533 100.00 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for county variable in acc_aux dataset : County | Freq. Percent Cum. ------------+----------------------------------- 72 | 533 100.00 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for fatals variable in acc_aux dataset : Accident | Fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 488 91.56 91.56 2 | 32 6.00 97.56 3 | 7 1.31 98.87 4 | 4 0.75 99.62 5 | 1 0.19 99.81 6 | 1 0.19 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for st_case variable in acc_aux dataset : State/Case | Number | Freq. Percent Cum. ------------+----------------------------------- 430001 | 1 0.19 0.19 430002 | 1 0.19 0.38 430003 | 1 0.19 0.56 430004 | 1 0.19 0.75 430005 | 1 0.19 0.94 430006 | 1 0.19 1.13 430007 | 1 0.19 1.31 430008 | 1 0.19 1.50 430009 | 1 0.19 1.69 430010 | 1 0.19 1.88 430011 | 1 0.19 2.06 430012 | 1 0.19 2.25 430013 | 1 0.19 2.44 430014 | 1 0.19 2.63 430015 | 1 0.19 2.81 430016 | 1 0.19 3.00 430017 | 1 0.19 3.19 430018 | 1 0.19 3.38 430019 | 1 0.19 3.56 430020 | 1 0.19 3.75 430021 | 1 0.19 3.94 430022 | 1 0.19 4.13 430023 | 1 0.19 4.32 430024 | 1 0.19 4.50 430025 | 1 0.19 4.69 430026 | 1 0.19 4.88 430027 | 1 0.19 5.07 430028 | 1 0.19 5.25 430029 | 1 0.19 5.44 430030 | 1 0.19 5.63 430031 | 1 0.19 5.82 430032 | 1 0.19 6.00 430033 | 1 0.19 6.19 430034 | 1 0.19 6.38 430035 | 1 0.19 6.57 430036 | 1 0.19 6.75 430037 | 1 0.19 6.94 430038 | 1 0.19 7.13 430039 | 1 0.19 7.32 430040 | 1 0.19 7.50 430041 | 1 0.19 7.69 430042 | 1 0.19 7.88 430043 | 1 0.19 8.07 430044 | 1 0.19 8.26 430045 | 1 0.19 8.44 430046 | 1 0.19 8.63 430047 | 1 0.19 8.82 430048 | 1 0.19 9.01 430049 | 1 0.19 9.19 430050 | 1 0.19 9.38 430051 | 1 0.19 9.57 430052 | 1 0.19 9.76 430053 | 1 0.19 9.94 430054 | 1 0.19 10.13 430055 | 1 0.19 10.32 430056 | 1 0.19 10.51 430057 | 1 0.19 10.69 430058 | 1 0.19 10.88 430059 | 1 0.19 11.07 430060 | 1 0.19 11.26 430061 | 1 0.19 11.44 430062 | 1 0.19 11.63 430063 | 1 0.19 11.82 430064 | 1 0.19 12.01 430065 | 1 0.19 12.20 430066 | 1 0.19 12.38 430067 | 1 0.19 12.57 430068 | 1 0.19 12.76 430069 | 1 0.19 12.95 430070 | 1 0.19 13.13 430071 | 1 0.19 13.32 430072 | 1 0.19 13.51 430073 | 1 0.19 13.70 430074 | 1 0.19 13.88 430075 | 1 0.19 14.07 430076 | 1 0.19 14.26 430077 | 1 0.19 14.45 430078 | 1 0.19 14.63 430079 | 1 0.19 14.82 430080 | 1 0.19 15.01 430081 | 1 0.19 15.20 430082 | 1 0.19 15.38 430083 | 1 0.19 15.57 430084 | 1 0.19 15.76 430085 | 1 0.19 15.95 430086 | 1 0.19 16.14 430087 | 1 0.19 16.32 430088 | 1 0.19 16.51 430089 | 1 0.19 16.70 430090 | 1 0.19 16.89 430091 | 1 0.19 17.07 430092 | 1 0.19 17.26 430093 | 1 0.19 17.45 430094 | 1 0.19 17.64 430095 | 1 0.19 17.82 430096 | 1 0.19 18.01 430097 | 1 0.19 18.20 430098 | 1 0.19 18.39 430099 | 1 0.19 18.57 430100 | 1 0.19 18.76 430101 | 1 0.19 18.95 430102 | 1 0.19 19.14 430103 | 1 0.19 19.32 430104 | 1 0.19 19.51 430105 | 1 0.19 19.70 430106 | 1 0.19 19.89 430107 | 1 0.19 20.08 430108 | 1 0.19 20.26 430109 | 1 0.19 20.45 430110 | 1 0.19 20.64 430111 | 1 0.19 20.83 430112 | 1 0.19 21.01 430113 | 1 0.19 21.20 430114 | 1 0.19 21.39 430116 | 1 0.19 21.58 430117 | 1 0.19 21.76 430118 | 1 0.19 21.95 430119 | 1 0.19 22.14 430120 | 1 0.19 22.33 430121 | 1 0.19 22.51 430122 | 1 0.19 22.70 430123 | 1 0.19 22.89 430124 | 1 0.19 23.08 430125 | 1 0.19 23.26 430126 | 1 0.19 23.45 430127 | 1 0.19 23.64 430128 | 1 0.19 23.83 430129 | 1 0.19 24.02 430130 | 1 0.19 24.20 430131 | 1 0.19 24.39 430132 | 1 0.19 24.58 430133 | 1 0.19 24.77 430134 | 1 0.19 24.95 430135 | 1 0.19 25.14 430136 | 1 0.19 25.33 430137 | 1 0.19 25.52 430138 | 1 0.19 25.70 430139 | 1 0.19 25.89 430140 | 1 0.19 26.08 430141 | 1 0.19 26.27 430142 | 1 0.19 26.45 430143 | 1 0.19 26.64 430147 | 1 0.19 26.83 430149 | 1 0.19 27.02 430150 | 1 0.19 27.20 430151 | 1 0.19 27.39 430153 | 1 0.19 27.58 430155 | 1 0.19 27.77 430162 | 1 0.19 27.95 430165 | 1 0.19 28.14 430166 | 1 0.19 28.33 430167 | 1 0.19 28.52 430168 | 1 0.19 28.71 430169 | 1 0.19 28.89 430170 | 1 0.19 29.08 430171 | 1 0.19 29.27 430172 | 1 0.19 29.46 430173 | 1 0.19 29.64 430174 | 1 0.19 29.83 430175 | 1 0.19 30.02 430176 | 1 0.19 30.21 430177 | 1 0.19 30.39 430178 | 1 0.19 30.58 430179 | 1 0.19 30.77 430180 | 1 0.19 30.96 430181 | 1 0.19 31.14 430182 | 1 0.19 31.33 430183 | 1 0.19 31.52 430184 | 1 0.19 31.71 430186 | 1 0.19 31.89 430187 | 1 0.19 32.08 430188 | 1 0.19 32.27 430189 | 1 0.19 32.46 430191 | 1 0.19 32.65 430192 | 1 0.19 32.83 430193 | 1 0.19 33.02 430194 | 1 0.19 33.21 430195 | 1 0.19 33.40 430196 | 1 0.19 33.58 430197 | 1 0.19 33.77 430198 | 1 0.19 33.96 430199 | 1 0.19 34.15 430200 | 1 0.19 34.33 430201 | 1 0.19 34.52 430205 | 1 0.19 34.71 430206 | 1 0.19 34.90 430207 | 1 0.19 35.08 430211 | 1 0.19 35.27 430212 | 1 0.19 35.46 430213 | 1 0.19 35.65 430214 | 1 0.19 35.83 430215 | 1 0.19 36.02 430216 | 1 0.19 36.21 430217 | 1 0.19 36.40 430218 | 1 0.19 36.59 430219 | 1 0.19 36.77 430224 | 1 0.19 36.96 430225 | 1 0.19 37.15 430226 | 1 0.19 37.34 430227 | 1 0.19 37.52 430228 | 1 0.19 37.71 430229 | 1 0.19 37.90 430231 | 1 0.19 38.09 430233 | 1 0.19 38.27 430235 | 1 0.19 38.46 430236 | 1 0.19 38.65 430237 | 1 0.19 38.84 430238 | 1 0.19 39.02 430239 | 1 0.19 39.21 430240 | 1 0.19 39.40 430241 | 1 0.19 39.59 430242 | 1 0.19 39.77 430243 | 1 0.19 39.96 430244 | 1 0.19 40.15 430246 | 1 0.19 40.34 430247 | 1 0.19 40.53 430248 | 1 0.19 40.71 430249 | 1 0.19 40.90 430250 | 1 0.19 41.09 430252 | 1 0.19 41.28 430253 | 1 0.19 41.46 430256 | 1 0.19 41.65 430257 | 1 0.19 41.84 430258 | 1 0.19 42.03 430260 | 1 0.19 42.21 430261 | 1 0.19 42.40 430262 | 1 0.19 42.59 430263 | 1 0.19 42.78 430264 | 1 0.19 42.96 430265 | 1 0.19 43.15 430266 | 1 0.19 43.34 430267 | 1 0.19 43.53 430268 | 1 0.19 43.71 430269 | 1 0.19 43.90 430270 | 1 0.19 44.09 430271 | 1 0.19 44.28 430272 | 1 0.19 44.47 430273 | 1 0.19 44.65 430275 | 1 0.19 44.84 430276 | 1 0.19 45.03 430277 | 1 0.19 45.22 430278 | 1 0.19 45.40 430279 | 1 0.19 45.59 430280 | 1 0.19 45.78 430281 | 1 0.19 45.97 430282 | 1 0.19 46.15 430283 | 1 0.19 46.34 430284 | 1 0.19 46.53 430285 | 1 0.19 46.72 430286 | 1 0.19 46.90 430287 | 1 0.19 47.09 430288 | 1 0.19 47.28 430289 | 1 0.19 47.47 430290 | 1 0.19 47.65 430291 | 1 0.19 47.84 430293 | 1 0.19 48.03 430294 | 1 0.19 48.22 430295 | 1 0.19 48.41 430296 | 1 0.19 48.59 430297 | 1 0.19 48.78 430298 | 1 0.19 48.97 430299 | 1 0.19 49.16 430300 | 1 0.19 49.34 430301 | 1 0.19 49.53 430302 | 1 0.19 49.72 430303 | 1 0.19 49.91 430304 | 1 0.19 50.09 430305 | 1 0.19 50.28 430306 | 1 0.19 50.47 430307 | 1 0.19 50.66 430308 | 1 0.19 50.84 430309 | 1 0.19 51.03 430310 | 1 0.19 51.22 430311 | 1 0.19 51.41 430312 | 1 0.19 51.59 430313 | 1 0.19 51.78 430314 | 1 0.19 51.97 430315 | 1 0.19 52.16 430316 | 1 0.19 52.35 430317 | 1 0.19 52.53 430318 | 1 0.19 52.72 430319 | 1 0.19 52.91 430320 | 1 0.19 53.10 430321 | 1 0.19 53.28 430322 | 1 0.19 53.47 430323 | 1 0.19 53.66 430324 | 1 0.19 53.85 430326 | 1 0.19 54.03 430327 | 1 0.19 54.22 430328 | 1 0.19 54.41 430329 | 1 0.19 54.60 430330 | 1 0.19 54.78 430331 | 1 0.19 54.97 430332 | 1 0.19 55.16 430333 | 1 0.19 55.35 430334 | 1 0.19 55.53 430335 | 1 0.19 55.72 430336 | 1 0.19 55.91 430337 | 1 0.19 56.10 430338 | 1 0.19 56.29 430339 | 1 0.19 56.47 430340 | 1 0.19 56.66 430341 | 1 0.19 56.85 430343 | 1 0.19 57.04 430344 | 1 0.19 57.22 430345 | 1 0.19 57.41 430346 | 1 0.19 57.60 430347 | 1 0.19 57.79 430348 | 1 0.19 57.97 430349 | 1 0.19 58.16 430351 | 1 0.19 58.35 430352 | 1 0.19 58.54 430353 | 1 0.19 58.72 430354 | 1 0.19 58.91 430355 | 1 0.19 59.10 430356 | 1 0.19 59.29 430357 | 1 0.19 59.47 430359 | 1 0.19 59.66 430360 | 1 0.19 59.85 430362 | 1 0.19 60.04 430364 | 1 0.19 60.23 430366 | 1 0.19 60.41 430367 | 1 0.19 60.60 430368 | 1 0.19 60.79 430369 | 1 0.19 60.98 430370 | 1 0.19 61.16 430371 | 1 0.19 61.35 430372 | 1 0.19 61.54 430373 | 1 0.19 61.73 430374 | 1 0.19 61.91 430375 | 1 0.19 62.10 430376 | 1 0.19 62.29 430377 | 1 0.19 62.48 430378 | 1 0.19 62.66 430379 | 1 0.19 62.85 430380 | 1 0.19 63.04 430381 | 1 0.19 63.23 430382 | 1 0.19 63.41 430383 | 1 0.19 63.60 430384 | 1 0.19 63.79 430385 | 1 0.19 63.98 430386 | 1 0.19 64.17 430387 | 1 0.19 64.35 430388 | 1 0.19 64.54 430389 | 1 0.19 64.73 430390 | 1 0.19 64.92 430391 | 1 0.19 65.10 430392 | 1 0.19 65.29 430393 | 1 0.19 65.48 430394 | 1 0.19 65.67 430395 | 1 0.19 65.85 430396 | 1 0.19 66.04 430399 | 1 0.19 66.23 430400 | 1 0.19 66.42 430401 | 1 0.19 66.60 430402 | 1 0.19 66.79 430403 | 1 0.19 66.98 430404 | 1 0.19 67.17 430405 | 1 0.19 67.35 430406 | 1 0.19 67.54 430407 | 1 0.19 67.73 430408 | 1 0.19 67.92 430410 | 1 0.19 68.11 430412 | 1 0.19 68.29 430414 | 1 0.19 68.48 430415 | 1 0.19 68.67 430416 | 1 0.19 68.86 430417 | 1 0.19 69.04 430418 | 1 0.19 69.23 430419 | 1 0.19 69.42 430420 | 1 0.19 69.61 430421 | 1 0.19 69.79 430422 | 1 0.19 69.98 430423 | 1 0.19 70.17 430424 | 1 0.19 70.36 430425 | 1 0.19 70.54 430426 | 1 0.19 70.73 430427 | 1 0.19 70.92 430429 | 1 0.19 71.11 430430 | 1 0.19 71.29 430431 | 1 0.19 71.48 430432 | 1 0.19 71.67 430433 | 1 0.19 71.86 430434 | 1 0.19 72.05 430435 | 1 0.19 72.23 430436 | 1 0.19 72.42 430437 | 1 0.19 72.61 430438 | 1 0.19 72.80 430439 | 1 0.19 72.98 430440 | 1 0.19 73.17 430441 | 1 0.19 73.36 430442 | 1 0.19 73.55 430443 | 1 0.19 73.73 430444 | 1 0.19 73.92 430445 | 1 0.19 74.11 430446 | 1 0.19 74.30 430447 | 1 0.19 74.48 430448 | 1 0.19 74.67 430449 | 1 0.19 74.86 430450 | 1 0.19 75.05 430452 | 1 0.19 75.23 430453 | 1 0.19 75.42 430454 | 1 0.19 75.61 430455 | 1 0.19 75.80 430456 | 1 0.19 75.98 430457 | 1 0.19 76.17 430458 | 1 0.19 76.36 430459 | 1 0.19 76.55 430460 | 1 0.19 76.74 430461 | 1 0.19 76.92 430462 | 1 0.19 77.11 430464 | 1 0.19 77.30 430467 | 1 0.19 77.49 430468 | 1 0.19 77.67 430469 | 1 0.19 77.86 430470 | 1 0.19 78.05 430471 | 1 0.19 78.24 430472 | 1 0.19 78.42 430473 | 1 0.19 78.61 430474 | 1 0.19 78.80 430479 | 1 0.19 78.99 430480 | 1 0.19 79.17 430481 | 1 0.19 79.36 430482 | 1 0.19 79.55 430483 | 1 0.19 79.74 430484 | 1 0.19 79.92 430485 | 1 0.19 80.11 430486 | 1 0.19 80.30 430487 | 1 0.19 80.49 430488 | 1 0.19 80.68 430489 | 1 0.19 80.86 430490 | 1 0.19 81.05 430491 | 1 0.19 81.24 430492 | 1 0.19 81.43 430493 | 1 0.19 81.61 430494 | 1 0.19 81.80 430495 | 1 0.19 81.99 430496 | 1 0.19 82.18 430497 | 1 0.19 82.36 430498 | 1 0.19 82.55 430499 | 1 0.19 82.74 430500 | 1 0.19 82.93 430501 | 1 0.19 83.11 430502 | 1 0.19 83.30 430503 | 1 0.19 83.49 430504 | 1 0.19 83.68 430505 | 1 0.19 83.86 430506 | 1 0.19 84.05 430507 | 1 0.19 84.24 430508 | 1 0.19 84.43 430509 | 1 0.19 84.62 430511 | 1 0.19 84.80 430512 | 1 0.19 84.99 430513 | 1 0.19 85.18 430514 | 1 0.19 85.37 430515 | 1 0.19 85.55 430516 | 1 0.19 85.74 430517 | 1 0.19 85.93 430518 | 1 0.19 86.12 430520 | 1 0.19 86.30 430521 | 1 0.19 86.49 430522 | 1 0.19 86.68 430523 | 1 0.19 86.87 430524 | 1 0.19 87.05 430525 | 1 0.19 87.24 430526 | 1 0.19 87.43 430527 | 1 0.19 87.62 430528 | 1 0.19 87.80 430529 | 1 0.19 87.99 430530 | 1 0.19 88.18 430531 | 1 0.19 88.37 430532 | 1 0.19 88.56 430533 | 1 0.19 88.74 430534 | 1 0.19 88.93 430535 | 1 0.19 89.12 430536 | 1 0.19 89.31 430537 | 1 0.19 89.49 430538 | 1 0.19 89.68 430540 | 1 0.19 89.87 430541 | 1 0.19 90.06 430542 | 1 0.19 90.24 430543 | 1 0.19 90.43 430544 | 1 0.19 90.62 430545 | 1 0.19 90.81 430546 | 1 0.19 90.99 430547 | 1 0.19 91.18 430548 | 1 0.19 91.37 430549 | 1 0.19 91.56 430550 | 1 0.19 91.74 430551 | 1 0.19 91.93 430552 | 1 0.19 92.12 430553 | 1 0.19 92.31 430554 | 1 0.19 92.50 430556 | 1 0.19 92.68 430558 | 1 0.19 92.87 430559 | 1 0.19 93.06 430560 | 1 0.19 93.25 430561 | 1 0.19 93.43 430563 | 1 0.19 93.62 430565 | 1 0.19 93.81 430566 | 1 0.19 94.00 430567 | 1 0.19 94.18 430568 | 1 0.19 94.37 430569 | 1 0.19 94.56 430570 | 1 0.19 94.75 430571 | 1 0.19 94.93 430572 | 1 0.19 95.12 430573 | 1 0.19 95.31 430574 | 1 0.19 95.50 430575 | 1 0.19 95.68 430576 | 1 0.19 95.87 430577 | 1 0.19 96.06 430578 | 1 0.19 96.25 430580 | 1 0.19 96.44 430581 | 1 0.19 96.62 430582 | 1 0.19 96.81 430583 | 1 0.19 97.00 430584 | 1 0.19 97.19 430585 | 1 0.19 97.37 430586 | 1 0.19 97.56 430587 | 1 0.19 97.75 430588 | 1 0.19 97.94 430589 | 1 0.19 98.12 430590 | 1 0.19 98.31 430591 | 1 0.19 98.50 430592 | 1 0.19 98.69 430593 | 1 0.19 98.87 430594 | 1 0.19 99.06 430595 | 1 0.19 99.25 430597 | 1 0.19 99.44 430598 | 1 0.19 99.62 430599 | 1 0.19 99.81 430600 | 1 0.19 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 533 100.00 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 533 100.00 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 324 60.79 60.79 2 | 209 39.21 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 2 | 533 100.00 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 370 69.42 69.42 2 | 14 2.63 72.05 3 | 13 2.44 74.48 4 | 136 25.52 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 72 13.51 13.51 2 | 461 86.49 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 3 | 326 61.16 61.16 4 | 4 0.75 61.91 5 | 134 25.14 87.05 6 | 69 12.95 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 72 13.51 13.51 2 | 461 86.49 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 393 73.73 73.73 2 | 40 7.50 81.24 3 | 75 14.07 95.31 4 | 23 4.32 99.62 5 | 2 0.38 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 3 | 533 100.00 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 170 31.89 31.89 2 | 360 67.54 99.44 3 | 3 0.56 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 269 50.47 50.47 2 | 264 49.53 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 73 13.70 13.70 2 | 460 86.30 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 380 71.29 71.29 2 | 135 25.33 96.62 3 | 18 3.38 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 1 | 13 2.44 2.44 2 | 520 97.56 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 18 3.38 3.38 2 | 515 96.62 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 279 52.35 52.35 2 | 254 47.65 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 209 39.21 39.21 2 | 324 60.79 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 19 3.56 3.56 2 | 514 96.44 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 49 9.19 9.19 2 | 484 90.81 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 1 | 2 0.38 0.38 2 | 531 99.62 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 175 32.83 32.83 2 | 61 11.44 44.28 3 | 297 55.72 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 51 9.57 9.57 2 | 482 90.43 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 50 9.38 9.38 2 | 483 90.62 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 69 12.95 12.95 2 | 464 87.05 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 68 12.76 12.76 2 | 465 87.24 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 24 4.50 4.50 2 | 509 95.50 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 106 19.89 19.89 2 | 427 80.11 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 167 31.33 31.33 2 | 366 68.67 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 2 | 533 100.00 100.00 ------------+----------------------------------- Total | 533 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 1 0.19 0.19 2 | 532 99.81 100.00 ------------+----------------------------------- Total | 533 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016