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. ------------+----------------------------------- 1992 | 522 100.00 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for state variable in acc_aux dataset : state | Freq. Percent Cum. ------------+----------------------------------- 43 | 522 100.00 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for county variable in acc_aux dataset : county | Freq. Percent Cum. ------------+----------------------------------- 72 | 522 100.00 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for fatals variable in acc_aux dataset : fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 485 92.91 92.91 2 | 31 5.94 98.85 3 | 3 0.57 99.43 4 | 1 0.19 99.62 5 | 1 0.19 99.81 6 | 1 0.19 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for st_case variable in acc_aux dataset : st_case | Freq. Percent Cum. ------------+----------------------------------- 430001 | 1 0.19 0.19 430002 | 1 0.19 0.38 430003 | 1 0.19 0.57 430004 | 1 0.19 0.77 430005 | 1 0.19 0.96 430006 | 1 0.19 1.15 430007 | 1 0.19 1.34 430008 | 1 0.19 1.53 430009 | 1 0.19 1.72 430010 | 1 0.19 1.92 430011 | 1 0.19 2.11 430012 | 1 0.19 2.30 430013 | 1 0.19 2.49 430016 | 1 0.19 2.68 430017 | 1 0.19 2.87 430018 | 1 0.19 3.07 430019 | 1 0.19 3.26 430020 | 1 0.19 3.45 430021 | 1 0.19 3.64 430022 | 1 0.19 3.83 430023 | 1 0.19 4.02 430024 | 1 0.19 4.21 430025 | 1 0.19 4.41 430026 | 1 0.19 4.60 430027 | 1 0.19 4.79 430028 | 1 0.19 4.98 430029 | 1 0.19 5.17 430030 | 1 0.19 5.36 430031 | 1 0.19 5.56 430032 | 1 0.19 5.75 430033 | 1 0.19 5.94 430034 | 1 0.19 6.13 430035 | 1 0.19 6.32 430037 | 1 0.19 6.51 430038 | 1 0.19 6.70 430039 | 1 0.19 6.90 430040 | 1 0.19 7.09 430041 | 1 0.19 7.28 430042 | 1 0.19 7.47 430044 | 1 0.19 7.66 430045 | 1 0.19 7.85 430046 | 1 0.19 8.05 430047 | 1 0.19 8.24 430048 | 1 0.19 8.43 430049 | 1 0.19 8.62 430050 | 1 0.19 8.81 430051 | 1 0.19 9.00 430052 | 1 0.19 9.20 430053 | 1 0.19 9.39 430054 | 1 0.19 9.58 430055 | 1 0.19 9.77 430056 | 1 0.19 9.96 430057 | 1 0.19 10.15 430058 | 1 0.19 10.34 430059 | 1 0.19 10.54 430060 | 1 0.19 10.73 430061 | 1 0.19 10.92 430062 | 1 0.19 11.11 430063 | 1 0.19 11.30 430064 | 1 0.19 11.49 430065 | 1 0.19 11.69 430066 | 1 0.19 11.88 430067 | 1 0.19 12.07 430068 | 1 0.19 12.26 430069 | 1 0.19 12.45 430070 | 1 0.19 12.64 430071 | 1 0.19 12.84 430072 | 1 0.19 13.03 430073 | 1 0.19 13.22 430074 | 1 0.19 13.41 430075 | 1 0.19 13.60 430076 | 1 0.19 13.79 430077 | 1 0.19 13.98 430078 | 1 0.19 14.18 430079 | 1 0.19 14.37 430080 | 1 0.19 14.56 430081 | 1 0.19 14.75 430082 | 1 0.19 14.94 430083 | 1 0.19 15.13 430084 | 1 0.19 15.33 430085 | 1 0.19 15.52 430086 | 1 0.19 15.71 430087 | 1 0.19 15.90 430088 | 1 0.19 16.09 430089 | 1 0.19 16.28 430090 | 1 0.19 16.48 430091 | 1 0.19 16.67 430092 | 1 0.19 16.86 430093 | 1 0.19 17.05 430094 | 1 0.19 17.24 430095 | 1 0.19 17.43 430096 | 1 0.19 17.62 430097 | 1 0.19 17.82 430098 | 1 0.19 18.01 430099 | 1 0.19 18.20 430100 | 1 0.19 18.39 430101 | 1 0.19 18.58 430103 | 1 0.19 18.77 430104 | 1 0.19 18.97 430105 | 1 0.19 19.16 430106 | 1 0.19 19.35 430107 | 1 0.19 19.54 430108 | 1 0.19 19.73 430109 | 1 0.19 19.92 430110 | 1 0.19 20.11 430111 | 1 0.19 20.31 430112 | 1 0.19 20.50 430113 | 1 0.19 20.69 430114 | 1 0.19 20.88 430115 | 1 0.19 21.07 430116 | 1 0.19 21.26 430117 | 1 0.19 21.46 430118 | 1 0.19 21.65 430119 | 1 0.19 21.84 430120 | 1 0.19 22.03 430121 | 1 0.19 22.22 430122 | 1 0.19 22.41 430123 | 1 0.19 22.61 430124 | 1 0.19 22.80 430125 | 1 0.19 22.99 430126 | 1 0.19 23.18 430127 | 1 0.19 23.37 430128 | 1 0.19 23.56 430129 | 1 0.19 23.75 430130 | 1 0.19 23.95 430131 | 1 0.19 24.14 430132 | 1 0.19 24.33 430133 | 1 0.19 24.52 430134 | 1 0.19 24.71 430135 | 1 0.19 24.90 430136 | 1 0.19 25.10 430137 | 1 0.19 25.29 430138 | 1 0.19 25.48 430139 | 1 0.19 25.67 430140 | 1 0.19 25.86 430141 | 1 0.19 26.05 430142 | 1 0.19 26.25 430143 | 1 0.19 26.44 430144 | 1 0.19 26.63 430145 | 1 0.19 26.82 430146 | 1 0.19 27.01 430147 | 1 0.19 27.20 430148 | 1 0.19 27.39 430149 | 1 0.19 27.59 430150 | 1 0.19 27.78 430151 | 1 0.19 27.97 430152 | 1 0.19 28.16 430153 | 1 0.19 28.35 430154 | 1 0.19 28.54 430155 | 1 0.19 28.74 430156 | 1 0.19 28.93 430157 | 1 0.19 29.12 430158 | 1 0.19 29.31 430159 | 1 0.19 29.50 430160 | 1 0.19 29.69 430161 | 1 0.19 29.89 430162 | 1 0.19 30.08 430163 | 1 0.19 30.27 430164 | 1 0.19 30.46 430165 | 1 0.19 30.65 430166 | 1 0.19 30.84 430167 | 1 0.19 31.03 430168 | 1 0.19 31.23 430169 | 1 0.19 31.42 430170 | 1 0.19 31.61 430171 | 1 0.19 31.80 430172 | 1 0.19 31.99 430173 | 1 0.19 32.18 430174 | 1 0.19 32.38 430175 | 1 0.19 32.57 430176 | 1 0.19 32.76 430177 | 1 0.19 32.95 430178 | 1 0.19 33.14 430179 | 1 0.19 33.33 430180 | 1 0.19 33.52 430181 | 1 0.19 33.72 430182 | 1 0.19 33.91 430183 | 1 0.19 34.10 430184 | 1 0.19 34.29 430185 | 1 0.19 34.48 430186 | 1 0.19 34.67 430187 | 1 0.19 34.87 430188 | 1 0.19 35.06 430189 | 1 0.19 35.25 430190 | 1 0.19 35.44 430191 | 1 0.19 35.63 430192 | 1 0.19 35.82 430193 | 1 0.19 36.02 430194 | 1 0.19 36.21 430195 | 1 0.19 36.40 430196 | 1 0.19 36.59 430197 | 1 0.19 36.78 430198 | 1 0.19 36.97 430199 | 1 0.19 37.16 430200 | 1 0.19 37.36 430201 | 1 0.19 37.55 430202 | 1 0.19 37.74 430203 | 1 0.19 37.93 430204 | 1 0.19 38.12 430205 | 1 0.19 38.31 430206 | 1 0.19 38.51 430207 | 1 0.19 38.70 430208 | 1 0.19 38.89 430209 | 1 0.19 39.08 430210 | 1 0.19 39.27 430211 | 1 0.19 39.46 430212 | 1 0.19 39.66 430213 | 1 0.19 39.85 430214 | 1 0.19 40.04 430215 | 1 0.19 40.23 430216 | 1 0.19 40.42 430217 | 1 0.19 40.61 430218 | 1 0.19 40.80 430219 | 1 0.19 41.00 430220 | 1 0.19 41.19 430221 | 1 0.19 41.38 430222 | 1 0.19 41.57 430223 | 1 0.19 41.76 430224 | 1 0.19 41.95 430225 | 1 0.19 42.15 430226 | 1 0.19 42.34 430227 | 1 0.19 42.53 430228 | 1 0.19 42.72 430229 | 1 0.19 42.91 430230 | 1 0.19 43.10 430231 | 1 0.19 43.30 430232 | 1 0.19 43.49 430233 | 1 0.19 43.68 430234 | 1 0.19 43.87 430235 | 1 0.19 44.06 430236 | 1 0.19 44.25 430237 | 1 0.19 44.44 430238 | 1 0.19 44.64 430239 | 1 0.19 44.83 430240 | 1 0.19 45.02 430241 | 1 0.19 45.21 430242 | 1 0.19 45.40 430243 | 1 0.19 45.59 430244 | 1 0.19 45.79 430245 | 1 0.19 45.98 430246 | 1 0.19 46.17 430247 | 1 0.19 46.36 430248 | 1 0.19 46.55 430249 | 1 0.19 46.74 430250 | 1 0.19 46.93 430251 | 1 0.19 47.13 430252 | 1 0.19 47.32 430253 | 1 0.19 47.51 430254 | 1 0.19 47.70 430255 | 1 0.19 47.89 430256 | 1 0.19 48.08 430257 | 1 0.19 48.28 430258 | 1 0.19 48.47 430259 | 1 0.19 48.66 430260 | 1 0.19 48.85 430261 | 1 0.19 49.04 430262 | 1 0.19 49.23 430263 | 1 0.19 49.43 430264 | 1 0.19 49.62 430265 | 1 0.19 49.81 430266 | 1 0.19 50.00 430267 | 1 0.19 50.19 430268 | 1 0.19 50.38 430269 | 1 0.19 50.57 430270 | 1 0.19 50.77 430271 | 1 0.19 50.96 430272 | 1 0.19 51.15 430273 | 1 0.19 51.34 430274 | 1 0.19 51.53 430275 | 1 0.19 51.72 430276 | 1 0.19 51.92 430277 | 1 0.19 52.11 430278 | 1 0.19 52.30 430279 | 1 0.19 52.49 430280 | 1 0.19 52.68 430281 | 1 0.19 52.87 430282 | 1 0.19 53.07 430283 | 1 0.19 53.26 430284 | 1 0.19 53.45 430285 | 1 0.19 53.64 430286 | 1 0.19 53.83 430287 | 1 0.19 54.02 430288 | 1 0.19 54.21 430289 | 1 0.19 54.41 430290 | 1 0.19 54.60 430291 | 1 0.19 54.79 430292 | 1 0.19 54.98 430293 | 1 0.19 55.17 430294 | 1 0.19 55.36 430295 | 1 0.19 55.56 430296 | 1 0.19 55.75 430297 | 1 0.19 55.94 430298 | 1 0.19 56.13 430299 | 1 0.19 56.32 430300 | 1 0.19 56.51 430301 | 1 0.19 56.70 430302 | 1 0.19 56.90 430303 | 1 0.19 57.09 430304 | 1 0.19 57.28 430305 | 1 0.19 57.47 430306 | 1 0.19 57.66 430307 | 1 0.19 57.85 430308 | 1 0.19 58.05 430309 | 1 0.19 58.24 430311 | 1 0.19 58.43 430312 | 1 0.19 58.62 430313 | 1 0.19 58.81 430314 | 1 0.19 59.00 430315 | 1 0.19 59.20 430316 | 1 0.19 59.39 430317 | 1 0.19 59.58 430318 | 1 0.19 59.77 430319 | 1 0.19 59.96 430320 | 1 0.19 60.15 430321 | 1 0.19 60.34 430322 | 1 0.19 60.54 430323 | 1 0.19 60.73 430324 | 1 0.19 60.92 430325 | 1 0.19 61.11 430326 | 1 0.19 61.30 430327 | 1 0.19 61.49 430328 | 1 0.19 61.69 430329 | 1 0.19 61.88 430330 | 1 0.19 62.07 430331 | 1 0.19 62.26 430332 | 1 0.19 62.45 430333 | 1 0.19 62.64 430334 | 1 0.19 62.84 430335 | 1 0.19 63.03 430336 | 1 0.19 63.22 430337 | 1 0.19 63.41 430338 | 1 0.19 63.60 430339 | 1 0.19 63.79 430340 | 1 0.19 63.98 430341 | 1 0.19 64.18 430342 | 1 0.19 64.37 430343 | 1 0.19 64.56 430344 | 1 0.19 64.75 430345 | 1 0.19 64.94 430346 | 1 0.19 65.13 430347 | 1 0.19 65.33 430348 | 1 0.19 65.52 430349 | 1 0.19 65.71 430350 | 1 0.19 65.90 430351 | 1 0.19 66.09 430352 | 1 0.19 66.28 430353 | 1 0.19 66.48 430354 | 1 0.19 66.67 430355 | 1 0.19 66.86 430356 | 1 0.19 67.05 430357 | 1 0.19 67.24 430358 | 1 0.19 67.43 430359 | 1 0.19 67.62 430360 | 1 0.19 67.82 430361 | 1 0.19 68.01 430362 | 1 0.19 68.20 430363 | 1 0.19 68.39 430364 | 1 0.19 68.58 430365 | 1 0.19 68.77 430366 | 1 0.19 68.97 430367 | 1 0.19 69.16 430368 | 1 0.19 69.35 430369 | 1 0.19 69.54 430370 | 1 0.19 69.73 430371 | 1 0.19 69.92 430372 | 1 0.19 70.11 430373 | 1 0.19 70.31 430374 | 1 0.19 70.50 430375 | 1 0.19 70.69 430376 | 1 0.19 70.88 430377 | 1 0.19 71.07 430378 | 1 0.19 71.26 430379 | 1 0.19 71.46 430380 | 1 0.19 71.65 430381 | 1 0.19 71.84 430382 | 1 0.19 72.03 430383 | 1 0.19 72.22 430384 | 1 0.19 72.41 430385 | 1 0.19 72.61 430386 | 1 0.19 72.80 430387 | 1 0.19 72.99 430388 | 1 0.19 73.18 430389 | 1 0.19 73.37 430390 | 1 0.19 73.56 430391 | 1 0.19 73.75 430392 | 1 0.19 73.95 430393 | 1 0.19 74.14 430394 | 1 0.19 74.33 430395 | 1 0.19 74.52 430396 | 1 0.19 74.71 430397 | 1 0.19 74.90 430398 | 1 0.19 75.10 430399 | 1 0.19 75.29 430400 | 1 0.19 75.48 430401 | 1 0.19 75.67 430402 | 1 0.19 75.86 430403 | 1 0.19 76.05 430404 | 1 0.19 76.25 430405 | 1 0.19 76.44 430406 | 1 0.19 76.63 430407 | 1 0.19 76.82 430408 | 1 0.19 77.01 430409 | 1 0.19 77.20 430410 | 1 0.19 77.39 430411 | 1 0.19 77.59 430412 | 1 0.19 77.78 430413 | 1 0.19 77.97 430414 | 1 0.19 78.16 430415 | 1 0.19 78.35 430416 | 1 0.19 78.54 430417 | 1 0.19 78.74 430418 | 1 0.19 78.93 430419 | 1 0.19 79.12 430420 | 1 0.19 79.31 430422 | 1 0.19 79.50 430423 | 1 0.19 79.69 430424 | 1 0.19 79.89 430425 | 1 0.19 80.08 430426 | 1 0.19 80.27 430427 | 1 0.19 80.46 430428 | 1 0.19 80.65 430429 | 1 0.19 80.84 430430 | 1 0.19 81.03 430431 | 1 0.19 81.23 430432 | 1 0.19 81.42 430433 | 1 0.19 81.61 430434 | 1 0.19 81.80 430435 | 1 0.19 81.99 430436 | 1 0.19 82.18 430437 | 1 0.19 82.38 430438 | 1 0.19 82.57 430439 | 1 0.19 82.76 430440 | 1 0.19 82.95 430441 | 1 0.19 83.14 430442 | 1 0.19 83.33 430443 | 1 0.19 83.52 430444 | 1 0.19 83.72 430445 | 1 0.19 83.91 430446 | 1 0.19 84.10 430447 | 1 0.19 84.29 430448 | 1 0.19 84.48 430449 | 1 0.19 84.67 430450 | 1 0.19 84.87 430451 | 1 0.19 85.06 430452 | 1 0.19 85.25 430453 | 1 0.19 85.44 430454 | 1 0.19 85.63 430455 | 1 0.19 85.82 430456 | 1 0.19 86.02 430457 | 1 0.19 86.21 430458 | 1 0.19 86.40 430459 | 1 0.19 86.59 430460 | 1 0.19 86.78 430461 | 1 0.19 86.97 430462 | 1 0.19 87.16 430463 | 1 0.19 87.36 430464 | 1 0.19 87.55 430465 | 1 0.19 87.74 430466 | 1 0.19 87.93 430467 | 1 0.19 88.12 430468 | 1 0.19 88.31 430469 | 1 0.19 88.51 430470 | 1 0.19 88.70 430471 | 1 0.19 88.89 430472 | 1 0.19 89.08 430473 | 1 0.19 89.27 430474 | 1 0.19 89.46 430475 | 1 0.19 89.66 430476 | 1 0.19 89.85 430477 | 1 0.19 90.04 430478 | 1 0.19 90.23 430479 | 1 0.19 90.42 430480 | 1 0.19 90.61 430481 | 1 0.19 90.80 430482 | 1 0.19 91.00 430483 | 1 0.19 91.19 430484 | 1 0.19 91.38 430485 | 1 0.19 91.57 430486 | 1 0.19 91.76 430487 | 1 0.19 91.95 430488 | 1 0.19 92.15 430489 | 1 0.19 92.34 430490 | 1 0.19 92.53 430491 | 1 0.19 92.72 430492 | 1 0.19 92.91 430493 | 1 0.19 93.10 430494 | 1 0.19 93.30 430495 | 1 0.19 93.49 430496 | 1 0.19 93.68 430497 | 1 0.19 93.87 430498 | 1 0.19 94.06 430499 | 1 0.19 94.25 430500 | 1 0.19 94.44 430501 | 1 0.19 94.64 430502 | 1 0.19 94.83 430503 | 1 0.19 95.02 430504 | 1 0.19 95.21 430505 | 1 0.19 95.40 430506 | 1 0.19 95.59 430507 | 1 0.19 95.79 430508 | 1 0.19 95.98 430509 | 1 0.19 96.17 430510 | 1 0.19 96.36 430511 | 1 0.19 96.55 430512 | 1 0.19 96.74 430513 | 1 0.19 96.93 430514 | 1 0.19 97.13 430515 | 1 0.19 97.32 430516 | 1 0.19 97.51 430517 | 1 0.19 97.70 430518 | 1 0.19 97.89 430519 | 1 0.19 98.08 430520 | 1 0.19 98.28 430521 | 1 0.19 98.47 430522 | 1 0.19 98.66 430523 | 1 0.19 98.85 430524 | 1 0.19 99.04 430525 | 1 0.19 99.23 430526 | 1 0.19 99.43 430527 | 1 0.19 99.62 430528 | 1 0.19 99.81 430529 | 1 0.19 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 522 100.00 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 522 100.00 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 263 50.38 50.38 2 | 259 49.62 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 1 | 111 21.26 21.26 2 | 411 78.74 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 352 67.43 67.43 2 | 19 3.64 71.07 3 | 7 1.34 72.41 4 | 144 27.59 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 54 10.34 10.34 2 | 468 89.66 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 1 | 111 21.26 21.26 2 | 9 1.72 22.99 3 | 37 7.09 30.08 4 | 55 10.54 40.61 5 | 136 26.05 66.67 6 | 174 33.33 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 54 10.34 10.34 2 | 468 89.66 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 369 70.69 70.69 2 | 25 4.79 75.48 3 | 42 8.05 83.52 4 | 77 14.75 98.28 5 | 9 1.72 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 3 | 522 100.00 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 172 32.95 32.95 2 | 349 66.86 99.81 3 | 1 0.19 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 262 50.19 50.19 2 | 260 49.81 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 53 10.15 10.15 2 | 469 89.85 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 357 68.39 68.39 2 | 139 26.63 95.02 3 | 26 4.98 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 1 | 34 6.51 6.51 2 | 488 93.49 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 28 5.36 5.36 2 | 494 94.64 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 258 49.43 49.43 2 | 264 50.57 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 195 37.36 37.36 2 | 327 62.64 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 19 3.64 3.64 2 | 503 96.36 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 38 7.28 7.28 2 | 484 92.72 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 1 | 2 0.38 0.38 2 | 520 99.62 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 165 31.61 31.61 2 | 158 30.27 61.88 3 | 199 38.12 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 68 13.03 13.03 2 | 454 86.97 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 67 12.84 12.84 2 | 455 87.16 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 90 17.24 17.24 2 | 432 82.76 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 89 17.05 17.05 2 | 433 82.95 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 30 5.75 5.75 2 | 492 94.25 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 111 21.26 21.26 2 | 411 78.74 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 189 36.21 36.21 2 | 333 63.79 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 2 | 522 100.00 100.00 ------------+----------------------------------- Total | 522 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 4 0.77 0.77 2 | 518 99.23 100.00 ------------+----------------------------------- Total | 522 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016