Frequencies for acc_aux dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Frequencies for year variable in acc_aux dataset : year | Freq. Percent Cum. ------------+----------------------------------- 1997 | 552 100.00 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for state variable in acc_aux dataset : state | Freq. Percent Cum. ------------+----------------------------------- 43 | 552 100.00 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for county variable in acc_aux dataset : county | Freq. Percent Cum. ------------+----------------------------------- 0 | 1 0.18 0.18 72 | 551 99.82 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for fatals variable in acc_aux dataset : fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 517 93.66 93.66 2 | 30 5.43 99.09 3 | 5 0.91 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for st_case variable in acc_aux dataset : st_case | Freq. Percent Cum. ------------+----------------------------------- 430001 | 1 0.18 0.18 430002 | 1 0.18 0.36 430003 | 1 0.18 0.54 430004 | 1 0.18 0.72 430005 | 1 0.18 0.91 430006 | 1 0.18 1.09 430007 | 1 0.18 1.27 430008 | 1 0.18 1.45 430009 | 1 0.18 1.63 430010 | 1 0.18 1.81 430011 | 1 0.18 1.99 430012 | 1 0.18 2.17 430013 | 1 0.18 2.36 430014 | 1 0.18 2.54 430015 | 1 0.18 2.72 430016 | 1 0.18 2.90 430017 | 1 0.18 3.08 430018 | 1 0.18 3.26 430019 | 1 0.18 3.44 430020 | 1 0.18 3.62 430021 | 1 0.18 3.80 430022 | 1 0.18 3.99 430023 | 1 0.18 4.17 430024 | 1 0.18 4.35 430025 | 1 0.18 4.53 430026 | 1 0.18 4.71 430027 | 1 0.18 4.89 430028 | 1 0.18 5.07 430029 | 1 0.18 5.25 430030 | 1 0.18 5.43 430031 | 1 0.18 5.62 430032 | 1 0.18 5.80 430033 | 1 0.18 5.98 430034 | 1 0.18 6.16 430035 | 1 0.18 6.34 430036 | 1 0.18 6.52 430037 | 1 0.18 6.70 430038 | 1 0.18 6.88 430039 | 1 0.18 7.07 430040 | 1 0.18 7.25 430041 | 1 0.18 7.43 430042 | 1 0.18 7.61 430043 | 1 0.18 7.79 430044 | 1 0.18 7.97 430045 | 1 0.18 8.15 430046 | 1 0.18 8.33 430047 | 1 0.18 8.51 430048 | 1 0.18 8.70 430049 | 1 0.18 8.88 430050 | 1 0.18 9.06 430051 | 1 0.18 9.24 430052 | 1 0.18 9.42 430053 | 1 0.18 9.60 430054 | 1 0.18 9.78 430055 | 1 0.18 9.96 430056 | 1 0.18 10.14 430057 | 1 0.18 10.33 430058 | 1 0.18 10.51 430059 | 1 0.18 10.69 430060 | 1 0.18 10.87 430061 | 1 0.18 11.05 430062 | 1 0.18 11.23 430063 | 1 0.18 11.41 430064 | 1 0.18 11.59 430065 | 1 0.18 11.78 430066 | 1 0.18 11.96 430067 | 1 0.18 12.14 430068 | 1 0.18 12.32 430069 | 1 0.18 12.50 430070 | 1 0.18 12.68 430071 | 1 0.18 12.86 430072 | 1 0.18 13.04 430073 | 1 0.18 13.22 430074 | 1 0.18 13.41 430075 | 1 0.18 13.59 430076 | 1 0.18 13.77 430077 | 1 0.18 13.95 430078 | 1 0.18 14.13 430079 | 1 0.18 14.31 430080 | 1 0.18 14.49 430081 | 1 0.18 14.67 430082 | 1 0.18 14.86 430083 | 1 0.18 15.04 430084 | 1 0.18 15.22 430085 | 1 0.18 15.40 430086 | 1 0.18 15.58 430087 | 1 0.18 15.76 430088 | 1 0.18 15.94 430089 | 1 0.18 16.12 430090 | 1 0.18 16.30 430091 | 1 0.18 16.49 430092 | 1 0.18 16.67 430093 | 1 0.18 16.85 430094 | 1 0.18 17.03 430095 | 1 0.18 17.21 430096 | 1 0.18 17.39 430097 | 1 0.18 17.57 430098 | 1 0.18 17.75 430099 | 1 0.18 17.93 430100 | 1 0.18 18.12 430101 | 1 0.18 18.30 430102 | 1 0.18 18.48 430103 | 1 0.18 18.66 430104 | 1 0.18 18.84 430105 | 1 0.18 19.02 430106 | 1 0.18 19.20 430107 | 1 0.18 19.38 430108 | 1 0.18 19.57 430109 | 1 0.18 19.75 430110 | 1 0.18 19.93 430111 | 1 0.18 20.11 430112 | 1 0.18 20.29 430113 | 1 0.18 20.47 430114 | 1 0.18 20.65 430115 | 1 0.18 20.83 430116 | 1 0.18 21.01 430117 | 1 0.18 21.20 430118 | 1 0.18 21.38 430119 | 1 0.18 21.56 430120 | 1 0.18 21.74 430121 | 1 0.18 21.92 430122 | 1 0.18 22.10 430123 | 1 0.18 22.28 430124 | 1 0.18 22.46 430125 | 1 0.18 22.64 430126 | 1 0.18 22.83 430127 | 1 0.18 23.01 430128 | 1 0.18 23.19 430129 | 1 0.18 23.37 430130 | 1 0.18 23.55 430131 | 1 0.18 23.73 430132 | 1 0.18 23.91 430133 | 1 0.18 24.09 430134 | 1 0.18 24.28 430135 | 1 0.18 24.46 430136 | 1 0.18 24.64 430137 | 1 0.18 24.82 430138 | 1 0.18 25.00 430139 | 1 0.18 25.18 430140 | 1 0.18 25.36 430141 | 1 0.18 25.54 430142 | 1 0.18 25.72 430143 | 1 0.18 25.91 430144 | 1 0.18 26.09 430145 | 1 0.18 26.27 430146 | 1 0.18 26.45 430147 | 1 0.18 26.63 430148 | 1 0.18 26.81 430149 | 1 0.18 26.99 430150 | 1 0.18 27.17 430151 | 1 0.18 27.36 430152 | 1 0.18 27.54 430153 | 1 0.18 27.72 430154 | 1 0.18 27.90 430155 | 1 0.18 28.08 430156 | 1 0.18 28.26 430157 | 1 0.18 28.44 430158 | 1 0.18 28.62 430159 | 1 0.18 28.80 430160 | 1 0.18 28.99 430161 | 1 0.18 29.17 430162 | 1 0.18 29.35 430163 | 1 0.18 29.53 430164 | 1 0.18 29.71 430165 | 1 0.18 29.89 430166 | 1 0.18 30.07 430167 | 1 0.18 30.25 430168 | 1 0.18 30.43 430169 | 1 0.18 30.62 430170 | 1 0.18 30.80 430171 | 1 0.18 30.98 430172 | 1 0.18 31.16 430173 | 1 0.18 31.34 430174 | 1 0.18 31.52 430175 | 1 0.18 31.70 430176 | 1 0.18 31.88 430177 | 1 0.18 32.07 430178 | 1 0.18 32.25 430179 | 1 0.18 32.43 430180 | 1 0.18 32.61 430181 | 1 0.18 32.79 430182 | 1 0.18 32.97 430183 | 1 0.18 33.15 430184 | 1 0.18 33.33 430185 | 1 0.18 33.51 430186 | 1 0.18 33.70 430187 | 1 0.18 33.88 430188 | 1 0.18 34.06 430189 | 1 0.18 34.24 430190 | 1 0.18 34.42 430191 | 1 0.18 34.60 430192 | 1 0.18 34.78 430193 | 1 0.18 34.96 430194 | 1 0.18 35.14 430195 | 1 0.18 35.33 430196 | 1 0.18 35.51 430198 | 1 0.18 35.69 430199 | 1 0.18 35.87 430200 | 1 0.18 36.05 430201 | 1 0.18 36.23 430202 | 1 0.18 36.41 430203 | 1 0.18 36.59 430204 | 1 0.18 36.78 430205 | 1 0.18 36.96 430206 | 1 0.18 37.14 430207 | 1 0.18 37.32 430208 | 1 0.18 37.50 430209 | 1 0.18 37.68 430210 | 1 0.18 37.86 430211 | 1 0.18 38.04 430212 | 1 0.18 38.22 430213 | 1 0.18 38.41 430214 | 1 0.18 38.59 430215 | 1 0.18 38.77 430216 | 1 0.18 38.95 430217 | 1 0.18 39.13 430218 | 1 0.18 39.31 430219 | 1 0.18 39.49 430220 | 1 0.18 39.67 430221 | 1 0.18 39.86 430222 | 1 0.18 40.04 430223 | 1 0.18 40.22 430224 | 1 0.18 40.40 430225 | 1 0.18 40.58 430226 | 1 0.18 40.76 430227 | 1 0.18 40.94 430228 | 1 0.18 41.12 430229 | 1 0.18 41.30 430230 | 1 0.18 41.49 430231 | 1 0.18 41.67 430232 | 1 0.18 41.85 430233 | 1 0.18 42.03 430234 | 1 0.18 42.21 430235 | 1 0.18 42.39 430236 | 1 0.18 42.57 430237 | 1 0.18 42.75 430238 | 1 0.18 42.93 430239 | 1 0.18 43.12 430240 | 1 0.18 43.30 430241 | 1 0.18 43.48 430242 | 1 0.18 43.66 430243 | 1 0.18 43.84 430244 | 1 0.18 44.02 430245 | 1 0.18 44.20 430246 | 1 0.18 44.38 430247 | 1 0.18 44.57 430248 | 1 0.18 44.75 430249 | 1 0.18 44.93 430250 | 1 0.18 45.11 430251 | 1 0.18 45.29 430252 | 1 0.18 45.47 430253 | 1 0.18 45.65 430254 | 1 0.18 45.83 430255 | 1 0.18 46.01 430256 | 1 0.18 46.20 430257 | 1 0.18 46.38 430258 | 1 0.18 46.56 430259 | 1 0.18 46.74 430260 | 1 0.18 46.92 430261 | 1 0.18 47.10 430262 | 1 0.18 47.28 430263 | 1 0.18 47.46 430264 | 1 0.18 47.64 430265 | 1 0.18 47.83 430266 | 1 0.18 48.01 430267 | 1 0.18 48.19 430268 | 1 0.18 48.37 430269 | 1 0.18 48.55 430270 | 1 0.18 48.73 430271 | 1 0.18 48.91 430272 | 1 0.18 49.09 430273 | 1 0.18 49.28 430274 | 1 0.18 49.46 430275 | 1 0.18 49.64 430276 | 1 0.18 49.82 430277 | 1 0.18 50.00 430278 | 1 0.18 50.18 430279 | 1 0.18 50.36 430280 | 1 0.18 50.54 430281 | 1 0.18 50.72 430282 | 1 0.18 50.91 430283 | 1 0.18 51.09 430284 | 1 0.18 51.27 430285 | 1 0.18 51.45 430286 | 1 0.18 51.63 430287 | 1 0.18 51.81 430288 | 1 0.18 51.99 430289 | 1 0.18 52.17 430290 | 1 0.18 52.36 430291 | 1 0.18 52.54 430292 | 1 0.18 52.72 430293 | 1 0.18 52.90 430294 | 1 0.18 53.08 430295 | 1 0.18 53.26 430296 | 1 0.18 53.44 430297 | 1 0.18 53.62 430298 | 1 0.18 53.80 430299 | 1 0.18 53.99 430300 | 1 0.18 54.17 430301 | 1 0.18 54.35 430302 | 1 0.18 54.53 430303 | 1 0.18 54.71 430304 | 1 0.18 54.89 430305 | 1 0.18 55.07 430306 | 1 0.18 55.25 430307 | 1 0.18 55.43 430308 | 1 0.18 55.62 430309 | 1 0.18 55.80 430310 | 1 0.18 55.98 430311 | 1 0.18 56.16 430312 | 1 0.18 56.34 430313 | 1 0.18 56.52 430314 | 1 0.18 56.70 430315 | 1 0.18 56.88 430316 | 1 0.18 57.07 430317 | 1 0.18 57.25 430318 | 1 0.18 57.43 430319 | 1 0.18 57.61 430320 | 1 0.18 57.79 430321 | 1 0.18 57.97 430322 | 1 0.18 58.15 430323 | 1 0.18 58.33 430324 | 1 0.18 58.51 430325 | 1 0.18 58.70 430326 | 1 0.18 58.88 430327 | 1 0.18 59.06 430328 | 1 0.18 59.24 430329 | 1 0.18 59.42 430330 | 1 0.18 59.60 430331 | 1 0.18 59.78 430332 | 1 0.18 59.96 430333 | 1 0.18 60.14 430334 | 1 0.18 60.33 430335 | 1 0.18 60.51 430336 | 1 0.18 60.69 430337 | 1 0.18 60.87 430338 | 1 0.18 61.05 430339 | 1 0.18 61.23 430340 | 1 0.18 61.41 430341 | 1 0.18 61.59 430342 | 1 0.18 61.78 430343 | 1 0.18 61.96 430344 | 1 0.18 62.14 430345 | 1 0.18 62.32 430346 | 1 0.18 62.50 430347 | 1 0.18 62.68 430348 | 1 0.18 62.86 430349 | 1 0.18 63.04 430350 | 1 0.18 63.22 430351 | 1 0.18 63.41 430352 | 1 0.18 63.59 430353 | 1 0.18 63.77 430354 | 1 0.18 63.95 430355 | 1 0.18 64.13 430356 | 1 0.18 64.31 430357 | 1 0.18 64.49 430358 | 1 0.18 64.67 430359 | 1 0.18 64.86 430360 | 1 0.18 65.04 430361 | 1 0.18 65.22 430362 | 1 0.18 65.40 430363 | 1 0.18 65.58 430364 | 1 0.18 65.76 430365 | 1 0.18 65.94 430366 | 1 0.18 66.12 430367 | 1 0.18 66.30 430368 | 1 0.18 66.49 430369 | 1 0.18 66.67 430370 | 1 0.18 66.85 430371 | 1 0.18 67.03 430372 | 1 0.18 67.21 430373 | 1 0.18 67.39 430374 | 1 0.18 67.57 430375 | 1 0.18 67.75 430376 | 1 0.18 67.93 430377 | 1 0.18 68.12 430378 | 1 0.18 68.30 430379 | 1 0.18 68.48 430380 | 1 0.18 68.66 430381 | 1 0.18 68.84 430382 | 1 0.18 69.02 430383 | 1 0.18 69.20 430384 | 1 0.18 69.38 430385 | 1 0.18 69.57 430386 | 1 0.18 69.75 430387 | 1 0.18 69.93 430388 | 1 0.18 70.11 430389 | 1 0.18 70.29 430390 | 1 0.18 70.47 430391 | 1 0.18 70.65 430392 | 1 0.18 70.83 430393 | 1 0.18 71.01 430394 | 1 0.18 71.20 430395 | 1 0.18 71.38 430396 | 1 0.18 71.56 430397 | 1 0.18 71.74 430398 | 1 0.18 71.92 430399 | 1 0.18 72.10 430400 | 1 0.18 72.28 430401 | 1 0.18 72.46 430402 | 1 0.18 72.64 430403 | 1 0.18 72.83 430404 | 1 0.18 73.01 430405 | 1 0.18 73.19 430406 | 1 0.18 73.37 430407 | 1 0.18 73.55 430408 | 1 0.18 73.73 430409 | 1 0.18 73.91 430410 | 1 0.18 74.09 430411 | 1 0.18 74.28 430412 | 1 0.18 74.46 430413 | 1 0.18 74.64 430414 | 1 0.18 74.82 430415 | 1 0.18 75.00 430416 | 1 0.18 75.18 430417 | 1 0.18 75.36 430418 | 1 0.18 75.54 430419 | 1 0.18 75.72 430420 | 1 0.18 75.91 430421 | 1 0.18 76.09 430422 | 1 0.18 76.27 430423 | 1 0.18 76.45 430424 | 1 0.18 76.63 430425 | 1 0.18 76.81 430426 | 1 0.18 76.99 430427 | 1 0.18 77.17 430428 | 1 0.18 77.36 430429 | 1 0.18 77.54 430430 | 1 0.18 77.72 430431 | 1 0.18 77.90 430432 | 1 0.18 78.08 430433 | 1 0.18 78.26 430434 | 1 0.18 78.44 430435 | 1 0.18 78.62 430436 | 1 0.18 78.80 430437 | 1 0.18 78.99 430438 | 1 0.18 79.17 430439 | 1 0.18 79.35 430440 | 1 0.18 79.53 430441 | 1 0.18 79.71 430442 | 1 0.18 79.89 430443 | 1 0.18 80.07 430444 | 1 0.18 80.25 430445 | 1 0.18 80.43 430446 | 1 0.18 80.62 430447 | 1 0.18 80.80 430448 | 1 0.18 80.98 430449 | 1 0.18 81.16 430450 | 1 0.18 81.34 430451 | 1 0.18 81.52 430452 | 1 0.18 81.70 430453 | 1 0.18 81.88 430454 | 1 0.18 82.07 430455 | 1 0.18 82.25 430456 | 1 0.18 82.43 430457 | 1 0.18 82.61 430458 | 1 0.18 82.79 430459 | 1 0.18 82.97 430460 | 1 0.18 83.15 430461 | 1 0.18 83.33 430462 | 1 0.18 83.51 430463 | 1 0.18 83.70 430464 | 1 0.18 83.88 430465 | 1 0.18 84.06 430466 | 1 0.18 84.24 430467 | 1 0.18 84.42 430468 | 1 0.18 84.60 430469 | 1 0.18 84.78 430470 | 1 0.18 84.96 430471 | 1 0.18 85.14 430472 | 1 0.18 85.33 430473 | 1 0.18 85.51 430474 | 1 0.18 85.69 430475 | 1 0.18 85.87 430476 | 1 0.18 86.05 430477 | 1 0.18 86.23 430478 | 1 0.18 86.41 430479 | 1 0.18 86.59 430480 | 1 0.18 86.78 430481 | 1 0.18 86.96 430482 | 1 0.18 87.14 430483 | 1 0.18 87.32 430484 | 1 0.18 87.50 430485 | 1 0.18 87.68 430486 | 1 0.18 87.86 430487 | 1 0.18 88.04 430488 | 1 0.18 88.22 430489 | 1 0.18 88.41 430490 | 1 0.18 88.59 430491 | 1 0.18 88.77 430492 | 1 0.18 88.95 430493 | 1 0.18 89.13 430494 | 1 0.18 89.31 430495 | 1 0.18 89.49 430496 | 1 0.18 89.67 430497 | 1 0.18 89.86 430498 | 1 0.18 90.04 430499 | 1 0.18 90.22 430500 | 1 0.18 90.40 430501 | 1 0.18 90.58 430502 | 1 0.18 90.76 430503 | 1 0.18 90.94 430504 | 1 0.18 91.12 430505 | 1 0.18 91.30 430506 | 1 0.18 91.49 430507 | 1 0.18 91.67 430508 | 1 0.18 91.85 430509 | 1 0.18 92.03 430510 | 1 0.18 92.21 430511 | 1 0.18 92.39 430512 | 1 0.18 92.57 430513 | 1 0.18 92.75 430514 | 1 0.18 92.93 430515 | 1 0.18 93.12 430516 | 1 0.18 93.30 430517 | 1 0.18 93.48 430518 | 1 0.18 93.66 430519 | 1 0.18 93.84 430520 | 1 0.18 94.02 430521 | 1 0.18 94.20 430522 | 1 0.18 94.38 430523 | 1 0.18 94.57 430524 | 1 0.18 94.75 430525 | 1 0.18 94.93 430526 | 1 0.18 95.11 430527 | 1 0.18 95.29 430528 | 1 0.18 95.47 430529 | 1 0.18 95.65 430530 | 1 0.18 95.83 430531 | 1 0.18 96.01 430532 | 1 0.18 96.20 430533 | 1 0.18 96.38 430534 | 1 0.18 96.56 430535 | 1 0.18 96.74 430536 | 1 0.18 96.92 430537 | 1 0.18 97.10 430538 | 1 0.18 97.28 430539 | 1 0.18 97.46 430540 | 1 0.18 97.64 430541 | 1 0.18 97.83 430542 | 1 0.18 98.01 430543 | 1 0.18 98.19 430544 | 1 0.18 98.37 430545 | 1 0.18 98.55 430546 | 1 0.18 98.73 430547 | 1 0.18 98.91 430548 | 1 0.18 99.09 430549 | 1 0.18 99.28 430550 | 1 0.18 99.46 430551 | 1 0.18 99.64 430552 | 1 0.18 99.82 430553 | 1 0.18 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 552 100.00 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 552 100.00 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 205 37.14 37.14 2 | 347 62.86 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 1 | 124 22.46 22.46 2 | 428 77.54 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 365 66.12 66.12 2 | 21 3.80 69.93 3 | 5 0.91 70.83 4 | 161 29.17 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 49 8.88 8.88 2 | 503 91.12 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 1 | 124 22.46 22.46 2 | 26 4.71 27.17 3 | 109 19.75 46.92 4 | 95 17.21 64.13 5 | 121 21.92 86.05 6 | 77 13.95 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 49 8.88 8.88 2 | 503 91.12 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 397 71.92 71.92 2 | 33 5.98 77.90 3 | 45 8.15 86.05 4 | 70 12.68 98.73 5 | 7 1.27 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 3 | 552 100.00 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 201 36.41 36.41 2 | 351 63.59 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 285 51.63 51.63 2 | 267 48.37 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 47 8.51 8.51 2 | 505 91.49 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 386 69.93 69.93 2 | 146 26.45 96.38 3 | 20 3.62 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 1 | 31 5.62 5.62 2 | 521 94.38 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 27 4.89 4.89 2 | 525 95.11 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 268 48.55 48.55 2 | 284 51.45 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 210 38.04 38.04 2 | 342 61.96 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 23 4.17 4.17 2 | 529 95.83 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 48 8.70 8.70 2 | 504 91.30 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 1 | 1 0.18 0.18 2 | 551 99.82 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 140 25.36 25.36 2 | 209 37.86 63.22 3 | 203 36.78 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 77 13.95 13.95 2 | 475 86.05 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 76 13.77 13.77 2 | 476 86.23 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 114 20.65 20.65 2 | 438 79.35 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 113 20.47 20.47 2 | 439 79.53 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 42 7.61 7.61 2 | 510 92.39 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 115 20.83 20.83 2 | 437 79.17 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 218 39.49 39.49 2 | 334 60.51 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 2 | 552 100.00 100.00 ------------+----------------------------------- Total | 552 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 2 0.36 0.36 2 | 550 99.64 100.00 ------------+----------------------------------- Total | 552 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016