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. ------------+----------------------------------- 1998 | 524 100.00 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for state variable in acc_aux dataset : state | Freq. Percent Cum. ------------+----------------------------------- 43 | 524 100.00 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for county variable in acc_aux dataset : county | Freq. Percent Cum. ------------+----------------------------------- 72 | 524 100.00 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for fatals variable in acc_aux dataset : fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 499 95.23 95.23 2 | 20 3.82 99.05 3 | 2 0.38 99.43 4 | 2 0.38 99.81 5 | 1 0.19 100.00 ------------+----------------------------------- Total | 524 100.00 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 0.76 430005 | 1 0.19 0.95 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 1.91 430011 | 1 0.19 2.10 430012 | 1 0.19 2.29 430013 | 1 0.19 2.48 430014 | 1 0.19 2.67 430015 | 1 0.19 2.86 430016 | 1 0.19 3.05 430017 | 1 0.19 3.24 430018 | 1 0.19 3.44 430019 | 1 0.19 3.63 430020 | 1 0.19 3.82 430021 | 1 0.19 4.01 430022 | 1 0.19 4.20 430023 | 1 0.19 4.39 430024 | 1 0.19 4.58 430025 | 1 0.19 4.77 430026 | 1 0.19 4.96 430027 | 1 0.19 5.15 430028 | 1 0.19 5.34 430029 | 1 0.19 5.53 430030 | 1 0.19 5.73 430031 | 1 0.19 5.92 430032 | 1 0.19 6.11 430033 | 1 0.19 6.30 430034 | 1 0.19 6.49 430035 | 1 0.19 6.68 430036 | 1 0.19 6.87 430037 | 1 0.19 7.06 430038 | 1 0.19 7.25 430039 | 1 0.19 7.44 430040 | 1 0.19 7.63 430041 | 1 0.19 7.82 430042 | 1 0.19 8.02 430043 | 1 0.19 8.21 430044 | 1 0.19 8.40 430045 | 1 0.19 8.59 430046 | 1 0.19 8.78 430047 | 1 0.19 8.97 430048 | 1 0.19 9.16 430049 | 1 0.19 9.35 430050 | 1 0.19 9.54 430051 | 1 0.19 9.73 430052 | 1 0.19 9.92 430053 | 1 0.19 10.11 430054 | 1 0.19 10.31 430055 | 1 0.19 10.50 430056 | 1 0.19 10.69 430057 | 1 0.19 10.88 430058 | 1 0.19 11.07 430059 | 1 0.19 11.26 430060 | 1 0.19 11.45 430061 | 1 0.19 11.64 430062 | 1 0.19 11.83 430063 | 1 0.19 12.02 430064 | 1 0.19 12.21 430065 | 1 0.19 12.40 430066 | 1 0.19 12.60 430067 | 1 0.19 12.79 430068 | 1 0.19 12.98 430069 | 1 0.19 13.17 430070 | 1 0.19 13.36 430071 | 1 0.19 13.55 430072 | 1 0.19 13.74 430073 | 1 0.19 13.93 430074 | 1 0.19 14.12 430075 | 1 0.19 14.31 430076 | 1 0.19 14.50 430077 | 1 0.19 14.69 430078 | 1 0.19 14.89 430079 | 1 0.19 15.08 430080 | 1 0.19 15.27 430081 | 1 0.19 15.46 430082 | 1 0.19 15.65 430083 | 1 0.19 15.84 430084 | 1 0.19 16.03 430085 | 1 0.19 16.22 430086 | 1 0.19 16.41 430087 | 1 0.19 16.60 430088 | 1 0.19 16.79 430089 | 1 0.19 16.98 430090 | 1 0.19 17.18 430091 | 1 0.19 17.37 430092 | 1 0.19 17.56 430093 | 1 0.19 17.75 430094 | 1 0.19 17.94 430095 | 1 0.19 18.13 430096 | 1 0.19 18.32 430097 | 1 0.19 18.51 430098 | 1 0.19 18.70 430099 | 1 0.19 18.89 430100 | 1 0.19 19.08 430101 | 1 0.19 19.27 430102 | 1 0.19 19.47 430103 | 1 0.19 19.66 430104 | 1 0.19 19.85 430105 | 1 0.19 20.04 430106 | 1 0.19 20.23 430107 | 1 0.19 20.42 430108 | 1 0.19 20.61 430109 | 1 0.19 20.80 430110 | 1 0.19 20.99 430111 | 1 0.19 21.18 430112 | 1 0.19 21.37 430113 | 1 0.19 21.56 430114 | 1 0.19 21.76 430115 | 1 0.19 21.95 430116 | 1 0.19 22.14 430117 | 1 0.19 22.33 430118 | 1 0.19 22.52 430119 | 1 0.19 22.71 430120 | 1 0.19 22.90 430121 | 1 0.19 23.09 430122 | 1 0.19 23.28 430123 | 1 0.19 23.47 430124 | 1 0.19 23.66 430125 | 1 0.19 23.85 430126 | 1 0.19 24.05 430127 | 1 0.19 24.24 430128 | 1 0.19 24.43 430129 | 1 0.19 24.62 430130 | 1 0.19 24.81 430131 | 1 0.19 25.00 430132 | 1 0.19 25.19 430133 | 1 0.19 25.38 430134 | 1 0.19 25.57 430135 | 1 0.19 25.76 430136 | 1 0.19 25.95 430137 | 1 0.19 26.15 430138 | 1 0.19 26.34 430139 | 1 0.19 26.53 430140 | 1 0.19 26.72 430141 | 1 0.19 26.91 430142 | 1 0.19 27.10 430143 | 1 0.19 27.29 430144 | 1 0.19 27.48 430145 | 1 0.19 27.67 430146 | 1 0.19 27.86 430147 | 1 0.19 28.05 430148 | 1 0.19 28.24 430149 | 1 0.19 28.44 430150 | 1 0.19 28.63 430151 | 1 0.19 28.82 430152 | 1 0.19 29.01 430153 | 1 0.19 29.20 430154 | 1 0.19 29.39 430155 | 1 0.19 29.58 430156 | 1 0.19 29.77 430157 | 1 0.19 29.96 430158 | 1 0.19 30.15 430159 | 1 0.19 30.34 430160 | 1 0.19 30.53 430161 | 1 0.19 30.73 430162 | 1 0.19 30.92 430163 | 1 0.19 31.11 430164 | 1 0.19 31.30 430165 | 1 0.19 31.49 430166 | 1 0.19 31.68 430167 | 1 0.19 31.87 430168 | 1 0.19 32.06 430169 | 1 0.19 32.25 430170 | 1 0.19 32.44 430171 | 1 0.19 32.63 430172 | 1 0.19 32.82 430173 | 1 0.19 33.02 430174 | 1 0.19 33.21 430175 | 1 0.19 33.40 430176 | 1 0.19 33.59 430177 | 1 0.19 33.78 430178 | 1 0.19 33.97 430179 | 1 0.19 34.16 430180 | 1 0.19 34.35 430181 | 1 0.19 34.54 430182 | 1 0.19 34.73 430183 | 1 0.19 34.92 430184 | 1 0.19 35.11 430185 | 1 0.19 35.31 430186 | 1 0.19 35.50 430187 | 1 0.19 35.69 430188 | 1 0.19 35.88 430189 | 1 0.19 36.07 430190 | 1 0.19 36.26 430191 | 1 0.19 36.45 430192 | 1 0.19 36.64 430193 | 1 0.19 36.83 430194 | 1 0.19 37.02 430195 | 1 0.19 37.21 430196 | 1 0.19 37.40 430197 | 1 0.19 37.60 430198 | 1 0.19 37.79 430199 | 1 0.19 37.98 430200 | 1 0.19 38.17 430201 | 1 0.19 38.36 430202 | 1 0.19 38.55 430203 | 1 0.19 38.74 430204 | 1 0.19 38.93 430205 | 1 0.19 39.12 430206 | 1 0.19 39.31 430207 | 1 0.19 39.50 430208 | 1 0.19 39.69 430209 | 1 0.19 39.89 430210 | 1 0.19 40.08 430211 | 1 0.19 40.27 430212 | 1 0.19 40.46 430213 | 1 0.19 40.65 430214 | 1 0.19 40.84 430215 | 1 0.19 41.03 430216 | 1 0.19 41.22 430217 | 1 0.19 41.41 430218 | 1 0.19 41.60 430219 | 1 0.19 41.79 430220 | 1 0.19 41.98 430221 | 1 0.19 42.18 430222 | 1 0.19 42.37 430223 | 1 0.19 42.56 430224 | 1 0.19 42.75 430225 | 1 0.19 42.94 430226 | 1 0.19 43.13 430227 | 1 0.19 43.32 430228 | 1 0.19 43.51 430229 | 1 0.19 43.70 430230 | 1 0.19 43.89 430231 | 1 0.19 44.08 430232 | 1 0.19 44.27 430233 | 1 0.19 44.47 430234 | 1 0.19 44.66 430235 | 1 0.19 44.85 430236 | 1 0.19 45.04 430237 | 1 0.19 45.23 430238 | 1 0.19 45.42 430239 | 1 0.19 45.61 430240 | 1 0.19 45.80 430241 | 1 0.19 45.99 430242 | 1 0.19 46.18 430243 | 1 0.19 46.37 430244 | 1 0.19 46.56 430245 | 1 0.19 46.76 430246 | 1 0.19 46.95 430247 | 1 0.19 47.14 430248 | 1 0.19 47.33 430249 | 1 0.19 47.52 430250 | 1 0.19 47.71 430251 | 1 0.19 47.90 430252 | 1 0.19 48.09 430253 | 1 0.19 48.28 430254 | 1 0.19 48.47 430255 | 1 0.19 48.66 430256 | 1 0.19 48.85 430257 | 1 0.19 49.05 430258 | 1 0.19 49.24 430259 | 1 0.19 49.43 430260 | 1 0.19 49.62 430261 | 1 0.19 49.81 430262 | 1 0.19 50.00 430263 | 1 0.19 50.19 430264 | 1 0.19 50.38 430265 | 1 0.19 50.57 430266 | 1 0.19 50.76 430267 | 1 0.19 50.95 430268 | 1 0.19 51.15 430269 | 1 0.19 51.34 430270 | 1 0.19 51.53 430271 | 1 0.19 51.72 430272 | 1 0.19 51.91 430273 | 1 0.19 52.10 430274 | 1 0.19 52.29 430275 | 1 0.19 52.48 430276 | 1 0.19 52.67 430277 | 1 0.19 52.86 430278 | 1 0.19 53.05 430279 | 1 0.19 53.24 430280 | 1 0.19 53.44 430281 | 1 0.19 53.63 430282 | 1 0.19 53.82 430283 | 1 0.19 54.01 430284 | 1 0.19 54.20 430285 | 1 0.19 54.39 430286 | 1 0.19 54.58 430287 | 1 0.19 54.77 430288 | 1 0.19 54.96 430289 | 1 0.19 55.15 430290 | 1 0.19 55.34 430291 | 1 0.19 55.53 430292 | 1 0.19 55.73 430293 | 1 0.19 55.92 430294 | 1 0.19 56.11 430295 | 1 0.19 56.30 430296 | 1 0.19 56.49 430297 | 1 0.19 56.68 430298 | 1 0.19 56.87 430299 | 1 0.19 57.06 430300 | 1 0.19 57.25 430301 | 1 0.19 57.44 430302 | 1 0.19 57.63 430303 | 1 0.19 57.82 430304 | 1 0.19 58.02 430305 | 1 0.19 58.21 430306 | 1 0.19 58.40 430307 | 1 0.19 58.59 430308 | 1 0.19 58.78 430309 | 1 0.19 58.97 430310 | 1 0.19 59.16 430311 | 1 0.19 59.35 430312 | 1 0.19 59.54 430313 | 1 0.19 59.73 430314 | 1 0.19 59.92 430315 | 1 0.19 60.11 430316 | 1 0.19 60.31 430317 | 1 0.19 60.50 430318 | 1 0.19 60.69 430319 | 1 0.19 60.88 430320 | 1 0.19 61.07 430321 | 1 0.19 61.26 430322 | 1 0.19 61.45 430323 | 1 0.19 61.64 430324 | 1 0.19 61.83 430325 | 1 0.19 62.02 430326 | 1 0.19 62.21 430327 | 1 0.19 62.40 430328 | 1 0.19 62.60 430329 | 1 0.19 62.79 430330 | 1 0.19 62.98 430331 | 1 0.19 63.17 430332 | 1 0.19 63.36 430333 | 1 0.19 63.55 430334 | 1 0.19 63.74 430335 | 1 0.19 63.93 430336 | 1 0.19 64.12 430337 | 1 0.19 64.31 430338 | 1 0.19 64.50 430339 | 1 0.19 64.69 430340 | 1 0.19 64.89 430341 | 1 0.19 65.08 430342 | 1 0.19 65.27 430343 | 1 0.19 65.46 430344 | 1 0.19 65.65 430345 | 1 0.19 65.84 430346 | 1 0.19 66.03 430347 | 1 0.19 66.22 430348 | 1 0.19 66.41 430349 | 1 0.19 66.60 430350 | 1 0.19 66.79 430351 | 1 0.19 66.98 430352 | 1 0.19 67.18 430353 | 1 0.19 67.37 430354 | 1 0.19 67.56 430355 | 1 0.19 67.75 430356 | 1 0.19 67.94 430357 | 1 0.19 68.13 430358 | 1 0.19 68.32 430359 | 1 0.19 68.51 430360 | 1 0.19 68.70 430361 | 1 0.19 68.89 430362 | 1 0.19 69.08 430363 | 1 0.19 69.27 430364 | 1 0.19 69.47 430365 | 1 0.19 69.66 430366 | 1 0.19 69.85 430367 | 1 0.19 70.04 430368 | 1 0.19 70.23 430369 | 1 0.19 70.42 430370 | 1 0.19 70.61 430371 | 1 0.19 70.80 430372 | 1 0.19 70.99 430373 | 1 0.19 71.18 430374 | 1 0.19 71.37 430375 | 1 0.19 71.56 430376 | 1 0.19 71.76 430377 | 1 0.19 71.95 430378 | 1 0.19 72.14 430379 | 1 0.19 72.33 430380 | 1 0.19 72.52 430381 | 1 0.19 72.71 430382 | 1 0.19 72.90 430383 | 1 0.19 73.09 430384 | 1 0.19 73.28 430385 | 1 0.19 73.47 430386 | 1 0.19 73.66 430387 | 1 0.19 73.85 430388 | 1 0.19 74.05 430389 | 1 0.19 74.24 430390 | 1 0.19 74.43 430391 | 1 0.19 74.62 430392 | 1 0.19 74.81 430393 | 1 0.19 75.00 430394 | 1 0.19 75.19 430395 | 1 0.19 75.38 430396 | 1 0.19 75.57 430397 | 1 0.19 75.76 430398 | 1 0.19 75.95 430399 | 1 0.19 76.15 430400 | 1 0.19 76.34 430401 | 1 0.19 76.53 430402 | 1 0.19 76.72 430403 | 1 0.19 76.91 430404 | 1 0.19 77.10 430405 | 1 0.19 77.29 430406 | 1 0.19 77.48 430407 | 1 0.19 77.67 430408 | 1 0.19 77.86 430409 | 1 0.19 78.05 430410 | 1 0.19 78.24 430411 | 1 0.19 78.44 430412 | 1 0.19 78.63 430413 | 1 0.19 78.82 430414 | 1 0.19 79.01 430415 | 1 0.19 79.20 430416 | 1 0.19 79.39 430417 | 1 0.19 79.58 430418 | 1 0.19 79.77 430419 | 1 0.19 79.96 430420 | 1 0.19 80.15 430421 | 1 0.19 80.34 430422 | 1 0.19 80.53 430423 | 1 0.19 80.73 430424 | 1 0.19 80.92 430425 | 1 0.19 81.11 430426 | 1 0.19 81.30 430427 | 1 0.19 81.49 430428 | 1 0.19 81.68 430429 | 1 0.19 81.87 430430 | 1 0.19 82.06 430431 | 1 0.19 82.25 430432 | 1 0.19 82.44 430433 | 1 0.19 82.63 430434 | 1 0.19 82.82 430435 | 1 0.19 83.02 430436 | 1 0.19 83.21 430437 | 1 0.19 83.40 430438 | 1 0.19 83.59 430439 | 1 0.19 83.78 430440 | 1 0.19 83.97 430441 | 1 0.19 84.16 430442 | 1 0.19 84.35 430443 | 1 0.19 84.54 430444 | 1 0.19 84.73 430445 | 1 0.19 84.92 430446 | 1 0.19 85.11 430447 | 1 0.19 85.31 430448 | 1 0.19 85.50 430449 | 1 0.19 85.69 430450 | 1 0.19 85.88 430451 | 1 0.19 86.07 430452 | 1 0.19 86.26 430453 | 1 0.19 86.45 430454 | 1 0.19 86.64 430455 | 1 0.19 86.83 430456 | 1 0.19 87.02 430457 | 1 0.19 87.21 430458 | 1 0.19 87.40 430459 | 1 0.19 87.60 430460 | 1 0.19 87.79 430461 | 1 0.19 87.98 430462 | 1 0.19 88.17 430463 | 1 0.19 88.36 430464 | 1 0.19 88.55 430465 | 1 0.19 88.74 430466 | 1 0.19 88.93 430467 | 1 0.19 89.12 430468 | 1 0.19 89.31 430469 | 1 0.19 89.50 430470 | 1 0.19 89.69 430471 | 1 0.19 89.89 430472 | 1 0.19 90.08 430473 | 1 0.19 90.27 430474 | 1 0.19 90.46 430475 | 1 0.19 90.65 430476 | 1 0.19 90.84 430477 | 1 0.19 91.03 430478 | 1 0.19 91.22 430479 | 1 0.19 91.41 430480 | 1 0.19 91.60 430481 | 1 0.19 91.79 430482 | 1 0.19 91.98 430483 | 1 0.19 92.18 430484 | 1 0.19 92.37 430485 | 1 0.19 92.56 430486 | 1 0.19 92.75 430487 | 1 0.19 92.94 430488 | 1 0.19 93.13 430489 | 1 0.19 93.32 430490 | 1 0.19 93.51 430491 | 1 0.19 93.70 430492 | 1 0.19 93.89 430493 | 1 0.19 94.08 430494 | 1 0.19 94.27 430495 | 1 0.19 94.47 430496 | 1 0.19 94.66 430497 | 1 0.19 94.85 430498 | 1 0.19 95.04 430499 | 1 0.19 95.23 430500 | 1 0.19 95.42 430501 | 1 0.19 95.61 430502 | 1 0.19 95.80 430503 | 1 0.19 95.99 430504 | 1 0.19 96.18 430505 | 1 0.19 96.37 430506 | 1 0.19 96.56 430507 | 1 0.19 96.76 430508 | 1 0.19 96.95 430509 | 1 0.19 97.14 430510 | 1 0.19 97.33 430511 | 1 0.19 97.52 430512 | 1 0.19 97.71 430513 | 1 0.19 97.90 430514 | 1 0.19 98.09 430515 | 1 0.19 98.28 430516 | 1 0.19 98.47 430517 | 1 0.19 98.66 430518 | 1 0.19 98.85 430519 | 1 0.19 99.05 430520 | 1 0.19 99.24 430521 | 1 0.19 99.43 430522 | 1 0.19 99.62 430523 | 1 0.19 99.81 430524 | 1 0.19 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 524 100.00 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 524 100.00 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 205 39.12 39.12 2 | 319 60.88 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 1 | 115 21.95 21.95 2 | 409 78.05 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 359 68.51 68.51 2 | 17 3.24 71.76 3 | 11 2.10 73.85 4 | 137 26.15 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 37 7.06 7.06 2 | 487 92.94 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 1 | 115 21.95 21.95 2 | 10 1.91 23.85 3 | 93 17.75 41.60 4 | 107 20.42 62.02 5 | 132 25.19 87.21 6 | 67 12.79 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 37 7.06 7.06 2 | 487 92.94 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 368 70.23 70.23 2 | 18 3.44 73.66 3 | 54 10.31 83.97 4 | 70 13.36 97.33 5 | 14 2.67 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 3 | 524 100.00 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 185 35.31 35.31 2 | 338 64.50 99.81 3 | 1 0.19 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 269 51.34 51.34 2 | 255 48.66 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 39 7.44 7.44 2 | 485 92.56 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 358 68.32 68.32 2 | 145 27.67 95.99 3 | 21 4.01 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 1 | 32 6.11 6.11 2 | 492 93.89 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 28 5.34 5.34 2 | 496 94.66 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 241 45.99 45.99 2 | 283 54.01 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 187 35.69 35.69 2 | 337 64.31 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 23 4.39 4.39 2 | 501 95.61 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 46 8.78 8.78 2 | 478 91.22 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 2 | 524 100.00 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 140 26.72 26.72 2 | 174 33.21 59.92 3 | 210 40.08 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 70 13.36 13.36 2 | 454 86.64 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 69 13.17 13.17 2 | 455 86.83 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 92 17.56 17.56 2 | 432 82.44 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 91 17.37 17.37 2 | 433 82.63 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 34 6.49 6.49 2 | 490 93.51 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 108 20.61 20.61 2 | 416 79.39 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 191 36.45 36.45 2 | 333 63.55 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 2 | 524 100.00 100.00 ------------+----------------------------------- Total | 524 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 2 0.38 0.38 2 | 522 99.62 100.00 ------------+----------------------------------- Total | 524 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016