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. ------------+----------------------------------- 1995 | 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 : fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 513 93.61 93.61 2 | 28 5.11 98.72 3 | 3 0.55 99.27 4 | 3 0.55 99.82 5 | 1 0.18 100.00 ------------+----------------------------------- Total | 548 100.00 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 0.55 430004 | 1 0.18 0.73 430005 | 1 0.18 0.91 430006 | 1 0.18 1.09 430007 | 1 0.18 1.28 430008 | 1 0.18 1.46 430009 | 1 0.18 1.64 430010 | 1 0.18 1.82 430011 | 1 0.18 2.01 430012 | 1 0.18 2.19 430013 | 1 0.18 2.37 430014 | 1 0.18 2.55 430015 | 1 0.18 2.74 430016 | 1 0.18 2.92 430017 | 1 0.18 3.10 430018 | 1 0.18 3.28 430019 | 1 0.18 3.47 430020 | 1 0.18 3.65 430021 | 1 0.18 3.83 430022 | 1 0.18 4.01 430023 | 1 0.18 4.20 430024 | 1 0.18 4.38 430025 | 1 0.18 4.56 430026 | 1 0.18 4.74 430027 | 1 0.18 4.93 430028 | 1 0.18 5.11 430029 | 1 0.18 5.29 430030 | 1 0.18 5.47 430031 | 1 0.18 5.66 430032 | 1 0.18 5.84 430033 | 1 0.18 6.02 430034 | 1 0.18 6.20 430035 | 1 0.18 6.39 430036 | 1 0.18 6.57 430037 | 1 0.18 6.75 430038 | 1 0.18 6.93 430039 | 1 0.18 7.12 430040 | 1 0.18 7.30 430041 | 1 0.18 7.48 430042 | 1 0.18 7.66 430043 | 1 0.18 7.85 430044 | 1 0.18 8.03 430045 | 1 0.18 8.21 430046 | 1 0.18 8.39 430047 | 1 0.18 8.58 430048 | 1 0.18 8.76 430049 | 1 0.18 8.94 430050 | 1 0.18 9.12 430051 | 1 0.18 9.31 430052 | 1 0.18 9.49 430053 | 1 0.18 9.67 430054 | 1 0.18 9.85 430055 | 1 0.18 10.04 430056 | 1 0.18 10.22 430057 | 1 0.18 10.40 430058 | 1 0.18 10.58 430059 | 1 0.18 10.77 430060 | 1 0.18 10.95 430061 | 1 0.18 11.13 430062 | 1 0.18 11.31 430063 | 1 0.18 11.50 430064 | 1 0.18 11.68 430065 | 1 0.18 11.86 430066 | 1 0.18 12.04 430067 | 1 0.18 12.23 430068 | 1 0.18 12.41 430069 | 1 0.18 12.59 430070 | 1 0.18 12.77 430071 | 1 0.18 12.96 430072 | 1 0.18 13.14 430073 | 1 0.18 13.32 430074 | 1 0.18 13.50 430075 | 1 0.18 13.69 430076 | 1 0.18 13.87 430077 | 1 0.18 14.05 430078 | 1 0.18 14.23 430079 | 1 0.18 14.42 430080 | 1 0.18 14.60 430081 | 1 0.18 14.78 430082 | 1 0.18 14.96 430083 | 1 0.18 15.15 430084 | 1 0.18 15.33 430085 | 1 0.18 15.51 430086 | 1 0.18 15.69 430087 | 1 0.18 15.88 430088 | 1 0.18 16.06 430089 | 1 0.18 16.24 430090 | 1 0.18 16.42 430091 | 1 0.18 16.61 430092 | 1 0.18 16.79 430093 | 1 0.18 16.97 430094 | 1 0.18 17.15 430095 | 1 0.18 17.34 430096 | 1 0.18 17.52 430097 | 1 0.18 17.70 430098 | 1 0.18 17.88 430099 | 1 0.18 18.07 430100 | 1 0.18 18.25 430101 | 1 0.18 18.43 430102 | 1 0.18 18.61 430103 | 1 0.18 18.80 430104 | 1 0.18 18.98 430105 | 1 0.18 19.16 430106 | 1 0.18 19.34 430107 | 1 0.18 19.53 430108 | 1 0.18 19.71 430109 | 1 0.18 19.89 430110 | 1 0.18 20.07 430111 | 1 0.18 20.26 430112 | 1 0.18 20.44 430113 | 1 0.18 20.62 430114 | 1 0.18 20.80 430115 | 1 0.18 20.99 430116 | 1 0.18 21.17 430117 | 1 0.18 21.35 430118 | 1 0.18 21.53 430119 | 1 0.18 21.72 430120 | 1 0.18 21.90 430121 | 1 0.18 22.08 430122 | 1 0.18 22.26 430123 | 1 0.18 22.45 430124 | 1 0.18 22.63 430125 | 1 0.18 22.81 430126 | 1 0.18 22.99 430127 | 1 0.18 23.18 430128 | 1 0.18 23.36 430129 | 1 0.18 23.54 430130 | 1 0.18 23.72 430131 | 1 0.18 23.91 430132 | 1 0.18 24.09 430133 | 1 0.18 24.27 430134 | 1 0.18 24.45 430135 | 1 0.18 24.64 430136 | 1 0.18 24.82 430137 | 1 0.18 25.00 430138 | 1 0.18 25.18 430139 | 1 0.18 25.36 430140 | 1 0.18 25.55 430141 | 1 0.18 25.73 430142 | 1 0.18 25.91 430143 | 1 0.18 26.09 430144 | 1 0.18 26.28 430145 | 1 0.18 26.46 430146 | 1 0.18 26.64 430147 | 1 0.18 26.82 430148 | 1 0.18 27.01 430149 | 1 0.18 27.19 430150 | 1 0.18 27.37 430151 | 1 0.18 27.55 430152 | 1 0.18 27.74 430153 | 1 0.18 27.92 430154 | 1 0.18 28.10 430155 | 1 0.18 28.28 430156 | 1 0.18 28.47 430157 | 1 0.18 28.65 430158 | 1 0.18 28.83 430159 | 1 0.18 29.01 430160 | 1 0.18 29.20 430161 | 1 0.18 29.38 430162 | 1 0.18 29.56 430163 | 1 0.18 29.74 430164 | 1 0.18 29.93 430165 | 1 0.18 30.11 430166 | 1 0.18 30.29 430167 | 1 0.18 30.47 430168 | 1 0.18 30.66 430169 | 1 0.18 30.84 430170 | 1 0.18 31.02 430171 | 1 0.18 31.20 430172 | 1 0.18 31.39 430173 | 1 0.18 31.57 430174 | 1 0.18 31.75 430175 | 1 0.18 31.93 430176 | 1 0.18 32.12 430177 | 1 0.18 32.30 430178 | 1 0.18 32.48 430179 | 1 0.18 32.66 430180 | 1 0.18 32.85 430181 | 1 0.18 33.03 430182 | 1 0.18 33.21 430183 | 1 0.18 33.39 430184 | 1 0.18 33.58 430185 | 1 0.18 33.76 430186 | 1 0.18 33.94 430187 | 1 0.18 34.12 430188 | 1 0.18 34.31 430189 | 1 0.18 34.49 430190 | 1 0.18 34.67 430191 | 1 0.18 34.85 430192 | 1 0.18 35.04 430193 | 1 0.18 35.22 430194 | 1 0.18 35.40 430195 | 1 0.18 35.58 430196 | 1 0.18 35.77 430197 | 1 0.18 35.95 430198 | 1 0.18 36.13 430199 | 1 0.18 36.31 430200 | 1 0.18 36.50 430201 | 1 0.18 36.68 430202 | 1 0.18 36.86 430203 | 1 0.18 37.04 430204 | 1 0.18 37.23 430205 | 1 0.18 37.41 430206 | 1 0.18 37.59 430207 | 1 0.18 37.77 430208 | 1 0.18 37.96 430209 | 1 0.18 38.14 430210 | 1 0.18 38.32 430211 | 1 0.18 38.50 430212 | 1 0.18 38.69 430213 | 1 0.18 38.87 430214 | 1 0.18 39.05 430215 | 1 0.18 39.23 430216 | 1 0.18 39.42 430217 | 1 0.18 39.60 430218 | 1 0.18 39.78 430219 | 1 0.18 39.96 430220 | 1 0.18 40.15 430221 | 1 0.18 40.33 430222 | 1 0.18 40.51 430223 | 1 0.18 40.69 430224 | 1 0.18 40.88 430225 | 1 0.18 41.06 430226 | 1 0.18 41.24 430227 | 1 0.18 41.42 430228 | 1 0.18 41.61 430229 | 1 0.18 41.79 430230 | 1 0.18 41.97 430231 | 1 0.18 42.15 430232 | 1 0.18 42.34 430233 | 1 0.18 42.52 430234 | 1 0.18 42.70 430235 | 1 0.18 42.88 430236 | 1 0.18 43.07 430237 | 1 0.18 43.25 430238 | 1 0.18 43.43 430239 | 1 0.18 43.61 430240 | 1 0.18 43.80 430241 | 1 0.18 43.98 430242 | 1 0.18 44.16 430243 | 1 0.18 44.34 430244 | 1 0.18 44.53 430245 | 1 0.18 44.71 430246 | 1 0.18 44.89 430247 | 1 0.18 45.07 430248 | 1 0.18 45.26 430249 | 1 0.18 45.44 430250 | 1 0.18 45.62 430251 | 1 0.18 45.80 430252 | 1 0.18 45.99 430253 | 1 0.18 46.17 430254 | 1 0.18 46.35 430255 | 1 0.18 46.53 430256 | 1 0.18 46.72 430257 | 1 0.18 46.90 430258 | 1 0.18 47.08 430259 | 1 0.18 47.26 430260 | 1 0.18 47.45 430261 | 1 0.18 47.63 430262 | 1 0.18 47.81 430263 | 1 0.18 47.99 430264 | 1 0.18 48.18 430265 | 1 0.18 48.36 430266 | 1 0.18 48.54 430267 | 1 0.18 48.72 430268 | 1 0.18 48.91 430269 | 1 0.18 49.09 430270 | 1 0.18 49.27 430271 | 1 0.18 49.45 430272 | 1 0.18 49.64 430273 | 1 0.18 49.82 430274 | 1 0.18 50.00 430275 | 1 0.18 50.18 430276 | 1 0.18 50.36 430277 | 1 0.18 50.55 430278 | 1 0.18 50.73 430279 | 1 0.18 50.91 430280 | 1 0.18 51.09 430281 | 1 0.18 51.28 430282 | 1 0.18 51.46 430283 | 1 0.18 51.64 430284 | 1 0.18 51.82 430285 | 1 0.18 52.01 430286 | 1 0.18 52.19 430287 | 1 0.18 52.37 430288 | 1 0.18 52.55 430289 | 1 0.18 52.74 430290 | 1 0.18 52.92 430291 | 1 0.18 53.10 430292 | 1 0.18 53.28 430293 | 1 0.18 53.47 430294 | 1 0.18 53.65 430295 | 1 0.18 53.83 430296 | 1 0.18 54.01 430297 | 1 0.18 54.20 430298 | 1 0.18 54.38 430299 | 1 0.18 54.56 430300 | 1 0.18 54.74 430301 | 1 0.18 54.93 430302 | 1 0.18 55.11 430303 | 1 0.18 55.29 430304 | 1 0.18 55.47 430305 | 1 0.18 55.66 430306 | 1 0.18 55.84 430307 | 1 0.18 56.02 430308 | 1 0.18 56.20 430309 | 1 0.18 56.39 430310 | 1 0.18 56.57 430311 | 1 0.18 56.75 430312 | 1 0.18 56.93 430313 | 1 0.18 57.12 430314 | 1 0.18 57.30 430315 | 1 0.18 57.48 430316 | 1 0.18 57.66 430317 | 1 0.18 57.85 430318 | 1 0.18 58.03 430319 | 1 0.18 58.21 430320 | 1 0.18 58.39 430321 | 1 0.18 58.58 430322 | 1 0.18 58.76 430323 | 1 0.18 58.94 430324 | 1 0.18 59.12 430325 | 1 0.18 59.31 430326 | 1 0.18 59.49 430327 | 1 0.18 59.67 430328 | 1 0.18 59.85 430329 | 1 0.18 60.04 430330 | 1 0.18 60.22 430331 | 1 0.18 60.40 430332 | 1 0.18 60.58 430333 | 1 0.18 60.77 430334 | 1 0.18 60.95 430335 | 1 0.18 61.13 430336 | 1 0.18 61.31 430337 | 1 0.18 61.50 430338 | 1 0.18 61.68 430339 | 1 0.18 61.86 430340 | 1 0.18 62.04 430341 | 1 0.18 62.23 430342 | 1 0.18 62.41 430343 | 1 0.18 62.59 430344 | 1 0.18 62.77 430345 | 1 0.18 62.96 430346 | 1 0.18 63.14 430347 | 1 0.18 63.32 430348 | 1 0.18 63.50 430349 | 1 0.18 63.69 430350 | 1 0.18 63.87 430351 | 1 0.18 64.05 430352 | 1 0.18 64.23 430353 | 1 0.18 64.42 430354 | 1 0.18 64.60 430355 | 1 0.18 64.78 430356 | 1 0.18 64.96 430357 | 1 0.18 65.15 430358 | 1 0.18 65.33 430359 | 1 0.18 65.51 430360 | 1 0.18 65.69 430361 | 1 0.18 65.88 430362 | 1 0.18 66.06 430363 | 1 0.18 66.24 430364 | 1 0.18 66.42 430365 | 1 0.18 66.61 430366 | 1 0.18 66.79 430367 | 1 0.18 66.97 430368 | 1 0.18 67.15 430369 | 1 0.18 67.34 430370 | 1 0.18 67.52 430371 | 1 0.18 67.70 430372 | 1 0.18 67.88 430373 | 1 0.18 68.07 430374 | 1 0.18 68.25 430375 | 1 0.18 68.43 430376 | 1 0.18 68.61 430377 | 1 0.18 68.80 430378 | 1 0.18 68.98 430379 | 1 0.18 69.16 430380 | 1 0.18 69.34 430381 | 1 0.18 69.53 430382 | 1 0.18 69.71 430383 | 1 0.18 69.89 430384 | 1 0.18 70.07 430385 | 1 0.18 70.26 430386 | 1 0.18 70.44 430387 | 1 0.18 70.62 430388 | 1 0.18 70.80 430389 | 1 0.18 70.99 430390 | 1 0.18 71.17 430391 | 1 0.18 71.35 430392 | 1 0.18 71.53 430393 | 1 0.18 71.72 430394 | 1 0.18 71.90 430395 | 1 0.18 72.08 430396 | 1 0.18 72.26 430397 | 1 0.18 72.45 430398 | 1 0.18 72.63 430399 | 1 0.18 72.81 430400 | 1 0.18 72.99 430401 | 1 0.18 73.18 430402 | 1 0.18 73.36 430403 | 1 0.18 73.54 430404 | 1 0.18 73.72 430405 | 1 0.18 73.91 430406 | 1 0.18 74.09 430407 | 1 0.18 74.27 430408 | 1 0.18 74.45 430409 | 1 0.18 74.64 430410 | 1 0.18 74.82 430411 | 1 0.18 75.00 430412 | 1 0.18 75.18 430413 | 1 0.18 75.36 430414 | 1 0.18 75.55 430415 | 1 0.18 75.73 430416 | 1 0.18 75.91 430417 | 1 0.18 76.09 430418 | 1 0.18 76.28 430419 | 1 0.18 76.46 430420 | 1 0.18 76.64 430421 | 1 0.18 76.82 430422 | 1 0.18 77.01 430423 | 1 0.18 77.19 430424 | 1 0.18 77.37 430425 | 1 0.18 77.55 430426 | 1 0.18 77.74 430427 | 1 0.18 77.92 430428 | 1 0.18 78.10 430429 | 1 0.18 78.28 430430 | 1 0.18 78.47 430431 | 1 0.18 78.65 430432 | 1 0.18 78.83 430433 | 1 0.18 79.01 430434 | 1 0.18 79.20 430435 | 1 0.18 79.38 430436 | 1 0.18 79.56 430437 | 1 0.18 79.74 430438 | 1 0.18 79.93 430439 | 1 0.18 80.11 430440 | 1 0.18 80.29 430441 | 1 0.18 80.47 430442 | 1 0.18 80.66 430443 | 1 0.18 80.84 430444 | 1 0.18 81.02 430445 | 1 0.18 81.20 430446 | 1 0.18 81.39 430447 | 1 0.18 81.57 430448 | 1 0.18 81.75 430449 | 1 0.18 81.93 430450 | 1 0.18 82.12 430451 | 1 0.18 82.30 430452 | 1 0.18 82.48 430453 | 1 0.18 82.66 430454 | 1 0.18 82.85 430455 | 1 0.18 83.03 430456 | 1 0.18 83.21 430457 | 1 0.18 83.39 430458 | 1 0.18 83.58 430459 | 1 0.18 83.76 430460 | 1 0.18 83.94 430461 | 1 0.18 84.12 430462 | 1 0.18 84.31 430463 | 1 0.18 84.49 430464 | 1 0.18 84.67 430465 | 1 0.18 84.85 430466 | 1 0.18 85.04 430467 | 1 0.18 85.22 430468 | 1 0.18 85.40 430469 | 1 0.18 85.58 430470 | 1 0.18 85.77 430471 | 1 0.18 85.95 430472 | 1 0.18 86.13 430473 | 1 0.18 86.31 430474 | 1 0.18 86.50 430475 | 1 0.18 86.68 430476 | 1 0.18 86.86 430477 | 1 0.18 87.04 430478 | 1 0.18 87.23 430479 | 1 0.18 87.41 430480 | 1 0.18 87.59 430481 | 1 0.18 87.77 430482 | 1 0.18 87.96 430483 | 1 0.18 88.14 430484 | 1 0.18 88.32 430485 | 1 0.18 88.50 430486 | 1 0.18 88.69 430487 | 1 0.18 88.87 430488 | 1 0.18 89.05 430489 | 1 0.18 89.23 430490 | 1 0.18 89.42 430491 | 1 0.18 89.60 430492 | 1 0.18 89.78 430493 | 1 0.18 89.96 430494 | 1 0.18 90.15 430495 | 1 0.18 90.33 430496 | 1 0.18 90.51 430497 | 1 0.18 90.69 430498 | 1 0.18 90.88 430499 | 1 0.18 91.06 430500 | 1 0.18 91.24 430501 | 1 0.18 91.42 430502 | 1 0.18 91.61 430503 | 1 0.18 91.79 430504 | 1 0.18 91.97 430505 | 1 0.18 92.15 430506 | 1 0.18 92.34 430507 | 1 0.18 92.52 430508 | 1 0.18 92.70 430509 | 1 0.18 92.88 430510 | 1 0.18 93.07 430511 | 1 0.18 93.25 430512 | 1 0.18 93.43 430513 | 1 0.18 93.61 430514 | 1 0.18 93.80 430515 | 1 0.18 93.98 430516 | 1 0.18 94.16 430517 | 1 0.18 94.34 430518 | 1 0.18 94.53 430519 | 1 0.18 94.71 430520 | 1 0.18 94.89 430521 | 1 0.18 95.07 430522 | 1 0.18 95.26 430523 | 1 0.18 95.44 430524 | 1 0.18 95.62 430525 | 1 0.18 95.80 430526 | 1 0.18 95.99 430527 | 1 0.18 96.17 430528 | 1 0.18 96.35 430529 | 1 0.18 96.53 430530 | 1 0.18 96.72 430531 | 1 0.18 96.90 430532 | 1 0.18 97.08 430533 | 1 0.18 97.26 430534 | 1 0.18 97.45 430535 | 1 0.18 97.63 430536 | 1 0.18 97.81 430537 | 1 0.18 97.99 430538 | 1 0.18 98.18 430539 | 1 0.18 98.36 430540 | 1 0.18 98.54 430541 | 1 0.18 98.72 430542 | 1 0.18 98.91 430543 | 1 0.18 99.09 430544 | 1 0.18 99.27 430545 | 1 0.18 99.45 430546 | 1 0.18 99.64 430547 | 1 0.18 99.82 430548 | 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 | 215 39.23 39.23 2 | 333 60.77 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 1 | 129 23.54 23.54 2 | 419 76.46 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 356 64.96 64.96 2 | 25 4.56 69.53 3 | 13 2.37 71.90 4 | 154 28.10 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 43 7.85 7.85 2 | 505 92.15 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 1 | 129 23.54 23.54 2 | 17 3.10 26.64 3 | 97 17.70 44.34 4 | 114 20.80 65.15 5 | 106 19.34 84.49 6 | 85 15.51 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 43 7.85 7.85 2 | 505 92.15 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 375 68.43 68.43 2 | 27 4.93 73.36 3 | 59 10.77 84.12 4 | 76 13.87 97.99 5 | 11 2.01 100.00 ------------+----------------------------------- 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 | 168 30.66 30.66 2 | 380 69.34 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 279 50.91 50.91 2 | 269 49.09 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 50 9.12 9.12 2 | 498 90.88 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 361 65.88 65.88 2 | 161 29.38 95.26 3 | 26 4.74 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 1 | 34 6.20 6.20 2 | 514 93.80 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 33 6.02 6.02 2 | 515 93.98 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 275 50.18 50.18 2 | 273 49.82 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 190 34.67 34.67 2 | 358 65.33 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 12 2.19 2.19 2 | 536 97.81 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 41 7.48 7.48 2 | 507 92.52 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 1 | 3 0.55 0.55 2 | 545 99.45 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 169 30.84 30.84 2 | 173 31.57 62.41 3 | 206 37.59 100.00 ------------+----------------------------------- 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 | 70 12.77 12.77 2 | 478 87.23 100.00 ------------+----------------------------------- 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 | 70 12.77 12.77 2 | 478 87.23 100.00 ------------+----------------------------------- 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 | 102 18.61 18.61 2 | 446 81.39 100.00 ------------+----------------------------------- 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 | 102 18.61 18.61 2 | 446 81.39 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 30 5.47 5.47 2 | 518 94.53 100.00 ------------+----------------------------------- 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 | 125 22.81 22.81 2 | 423 77.19 100.00 ------------+----------------------------------- 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 | 219 39.96 39.96 2 | 329 60.04 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 2 0.36 0.36 2 | 546 99.64 100.00 ------------+----------------------------------- Total | 548 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 5 0.91 0.91 2 | 543 99.09 100.00 ------------+----------------------------------- Total | 548 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016