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. ------------+----------------------------------- 2000 | 521 100.00 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for state variable in acc_aux dataset : state | Freq. Percent Cum. ------------+----------------------------------- 43 | 521 100.00 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for county variable in acc_aux dataset : county | Freq. Percent Cum. ------------+----------------------------------- 72 | 521 100.00 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for fatals variable in acc_aux dataset : fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 480 92.13 92.13 2 | 37 7.10 99.23 3 | 2 0.38 99.62 4 | 2 0.38 100.00 ------------+----------------------------------- Total | 521 100.00 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 0.58 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 1.54 430009 | 1 0.19 1.73 430010 | 1 0.19 1.92 430011 | 1 0.19 2.11 430012 | 1 0.19 2.30 430013 | 1 0.19 2.50 430014 | 1 0.19 2.69 430015 | 1 0.19 2.88 430016 | 1 0.19 3.07 430017 | 1 0.19 3.26 430018 | 1 0.19 3.45 430019 | 1 0.19 3.65 430020 | 1 0.19 3.84 430021 | 1 0.19 4.03 430022 | 1 0.19 4.22 430023 | 1 0.19 4.41 430024 | 1 0.19 4.61 430025 | 1 0.19 4.80 430026 | 1 0.19 4.99 430027 | 1 0.19 5.18 430028 | 1 0.19 5.37 430029 | 1 0.19 5.57 430030 | 1 0.19 5.76 430031 | 1 0.19 5.95 430032 | 1 0.19 6.14 430033 | 1 0.19 6.33 430034 | 1 0.19 6.53 430035 | 1 0.19 6.72 430036 | 1 0.19 6.91 430037 | 1 0.19 7.10 430038 | 1 0.19 7.29 430039 | 1 0.19 7.49 430040 | 1 0.19 7.68 430041 | 1 0.19 7.87 430042 | 1 0.19 8.06 430043 | 1 0.19 8.25 430044 | 1 0.19 8.45 430045 | 1 0.19 8.64 430046 | 1 0.19 8.83 430047 | 1 0.19 9.02 430048 | 1 0.19 9.21 430049 | 1 0.19 9.40 430050 | 1 0.19 9.60 430051 | 1 0.19 9.79 430052 | 1 0.19 9.98 430053 | 1 0.19 10.17 430054 | 1 0.19 10.36 430055 | 1 0.19 10.56 430056 | 1 0.19 10.75 430057 | 1 0.19 10.94 430058 | 1 0.19 11.13 430059 | 1 0.19 11.32 430060 | 1 0.19 11.52 430061 | 1 0.19 11.71 430062 | 1 0.19 11.90 430063 | 1 0.19 12.09 430064 | 1 0.19 12.28 430065 | 1 0.19 12.48 430066 | 1 0.19 12.67 430067 | 1 0.19 12.86 430068 | 1 0.19 13.05 430069 | 1 0.19 13.24 430070 | 1 0.19 13.44 430071 | 1 0.19 13.63 430072 | 1 0.19 13.82 430073 | 1 0.19 14.01 430074 | 1 0.19 14.20 430075 | 1 0.19 14.40 430076 | 1 0.19 14.59 430077 | 1 0.19 14.78 430078 | 1 0.19 14.97 430079 | 1 0.19 15.16 430080 | 1 0.19 15.36 430081 | 1 0.19 15.55 430082 | 1 0.19 15.74 430083 | 1 0.19 15.93 430084 | 1 0.19 16.12 430085 | 1 0.19 16.31 430086 | 1 0.19 16.51 430087 | 1 0.19 16.70 430088 | 1 0.19 16.89 430089 | 1 0.19 17.08 430090 | 1 0.19 17.27 430091 | 1 0.19 17.47 430092 | 1 0.19 17.66 430093 | 1 0.19 17.85 430094 | 1 0.19 18.04 430095 | 1 0.19 18.23 430096 | 1 0.19 18.43 430097 | 1 0.19 18.62 430098 | 1 0.19 18.81 430099 | 1 0.19 19.00 430100 | 1 0.19 19.19 430101 | 1 0.19 19.39 430102 | 1 0.19 19.58 430103 | 1 0.19 19.77 430104 | 1 0.19 19.96 430105 | 1 0.19 20.15 430106 | 1 0.19 20.35 430107 | 1 0.19 20.54 430108 | 1 0.19 20.73 430109 | 1 0.19 20.92 430110 | 1 0.19 21.11 430111 | 1 0.19 21.31 430112 | 1 0.19 21.50 430113 | 1 0.19 21.69 430114 | 1 0.19 21.88 430115 | 1 0.19 22.07 430116 | 1 0.19 22.26 430117 | 1 0.19 22.46 430118 | 1 0.19 22.65 430119 | 1 0.19 22.84 430120 | 1 0.19 23.03 430121 | 1 0.19 23.22 430122 | 1 0.19 23.42 430123 | 1 0.19 23.61 430124 | 1 0.19 23.80 430125 | 1 0.19 23.99 430126 | 1 0.19 24.18 430127 | 1 0.19 24.38 430128 | 1 0.19 24.57 430129 | 1 0.19 24.76 430130 | 1 0.19 24.95 430131 | 1 0.19 25.14 430132 | 1 0.19 25.34 430133 | 1 0.19 25.53 430134 | 1 0.19 25.72 430135 | 1 0.19 25.91 430136 | 1 0.19 26.10 430137 | 1 0.19 26.30 430138 | 1 0.19 26.49 430139 | 1 0.19 26.68 430140 | 1 0.19 26.87 430141 | 1 0.19 27.06 430142 | 1 0.19 27.26 430143 | 1 0.19 27.45 430144 | 1 0.19 27.64 430145 | 1 0.19 27.83 430146 | 1 0.19 28.02 430147 | 1 0.19 28.21 430148 | 1 0.19 28.41 430149 | 1 0.19 28.60 430150 | 1 0.19 28.79 430151 | 1 0.19 28.98 430152 | 1 0.19 29.17 430153 | 1 0.19 29.37 430154 | 1 0.19 29.56 430155 | 1 0.19 29.75 430156 | 1 0.19 29.94 430157 | 1 0.19 30.13 430158 | 1 0.19 30.33 430159 | 1 0.19 30.52 430160 | 1 0.19 30.71 430161 | 1 0.19 30.90 430162 | 1 0.19 31.09 430163 | 1 0.19 31.29 430164 | 1 0.19 31.48 430165 | 1 0.19 31.67 430166 | 1 0.19 31.86 430167 | 1 0.19 32.05 430168 | 1 0.19 32.25 430169 | 1 0.19 32.44 430170 | 1 0.19 32.63 430171 | 1 0.19 32.82 430172 | 1 0.19 33.01 430173 | 1 0.19 33.21 430174 | 1 0.19 33.40 430175 | 1 0.19 33.59 430176 | 1 0.19 33.78 430177 | 1 0.19 33.97 430178 | 1 0.19 34.17 430179 | 1 0.19 34.36 430180 | 1 0.19 34.55 430181 | 1 0.19 34.74 430182 | 1 0.19 34.93 430183 | 1 0.19 35.12 430184 | 1 0.19 35.32 430185 | 1 0.19 35.51 430186 | 1 0.19 35.70 430187 | 1 0.19 35.89 430188 | 1 0.19 36.08 430189 | 1 0.19 36.28 430190 | 1 0.19 36.47 430191 | 1 0.19 36.66 430192 | 1 0.19 36.85 430193 | 1 0.19 37.04 430194 | 1 0.19 37.24 430195 | 1 0.19 37.43 430196 | 1 0.19 37.62 430197 | 1 0.19 37.81 430198 | 1 0.19 38.00 430199 | 1 0.19 38.20 430200 | 1 0.19 38.39 430201 | 1 0.19 38.58 430202 | 1 0.19 38.77 430203 | 1 0.19 38.96 430204 | 1 0.19 39.16 430205 | 1 0.19 39.35 430206 | 1 0.19 39.54 430207 | 1 0.19 39.73 430208 | 1 0.19 39.92 430209 | 1 0.19 40.12 430210 | 1 0.19 40.31 430211 | 1 0.19 40.50 430212 | 1 0.19 40.69 430213 | 1 0.19 40.88 430214 | 1 0.19 41.07 430215 | 1 0.19 41.27 430216 | 1 0.19 41.46 430217 | 1 0.19 41.65 430218 | 1 0.19 41.84 430219 | 1 0.19 42.03 430220 | 1 0.19 42.23 430221 | 1 0.19 42.42 430222 | 1 0.19 42.61 430223 | 1 0.19 42.80 430224 | 1 0.19 42.99 430225 | 1 0.19 43.19 430226 | 1 0.19 43.38 430227 | 1 0.19 43.57 430228 | 1 0.19 43.76 430229 | 1 0.19 43.95 430230 | 1 0.19 44.15 430231 | 1 0.19 44.34 430232 | 1 0.19 44.53 430233 | 1 0.19 44.72 430234 | 1 0.19 44.91 430235 | 1 0.19 45.11 430236 | 1 0.19 45.30 430237 | 1 0.19 45.49 430238 | 1 0.19 45.68 430239 | 1 0.19 45.87 430240 | 1 0.19 46.07 430241 | 1 0.19 46.26 430242 | 1 0.19 46.45 430243 | 1 0.19 46.64 430244 | 1 0.19 46.83 430245 | 1 0.19 47.02 430246 | 1 0.19 47.22 430247 | 1 0.19 47.41 430248 | 1 0.19 47.60 430249 | 1 0.19 47.79 430250 | 1 0.19 47.98 430251 | 1 0.19 48.18 430252 | 1 0.19 48.37 430253 | 1 0.19 48.56 430254 | 1 0.19 48.75 430255 | 1 0.19 48.94 430256 | 1 0.19 49.14 430257 | 1 0.19 49.33 430258 | 1 0.19 49.52 430259 | 1 0.19 49.71 430260 | 1 0.19 49.90 430261 | 1 0.19 50.10 430262 | 1 0.19 50.29 430263 | 1 0.19 50.48 430264 | 1 0.19 50.67 430265 | 1 0.19 50.86 430266 | 1 0.19 51.06 430267 | 1 0.19 51.25 430268 | 1 0.19 51.44 430269 | 1 0.19 51.63 430270 | 1 0.19 51.82 430271 | 1 0.19 52.02 430272 | 1 0.19 52.21 430273 | 1 0.19 52.40 430274 | 1 0.19 52.59 430275 | 1 0.19 52.78 430276 | 1 0.19 52.98 430277 | 1 0.19 53.17 430278 | 1 0.19 53.36 430279 | 1 0.19 53.55 430280 | 1 0.19 53.74 430281 | 1 0.19 53.93 430282 | 1 0.19 54.13 430283 | 1 0.19 54.32 430284 | 1 0.19 54.51 430285 | 1 0.19 54.70 430286 | 1 0.19 54.89 430287 | 1 0.19 55.09 430288 | 1 0.19 55.28 430289 | 1 0.19 55.47 430290 | 1 0.19 55.66 430291 | 1 0.19 55.85 430292 | 1 0.19 56.05 430293 | 1 0.19 56.24 430294 | 1 0.19 56.43 430295 | 1 0.19 56.62 430296 | 1 0.19 56.81 430297 | 1 0.19 57.01 430298 | 1 0.19 57.20 430299 | 1 0.19 57.39 430300 | 1 0.19 57.58 430301 | 1 0.19 57.77 430302 | 1 0.19 57.97 430303 | 1 0.19 58.16 430304 | 1 0.19 58.35 430305 | 1 0.19 58.54 430306 | 1 0.19 58.73 430307 | 1 0.19 58.93 430308 | 1 0.19 59.12 430309 | 1 0.19 59.31 430310 | 1 0.19 59.50 430311 | 1 0.19 59.69 430312 | 1 0.19 59.88 430313 | 1 0.19 60.08 430314 | 1 0.19 60.27 430315 | 1 0.19 60.46 430316 | 1 0.19 60.65 430317 | 1 0.19 60.84 430318 | 1 0.19 61.04 430319 | 1 0.19 61.23 430320 | 1 0.19 61.42 430321 | 1 0.19 61.61 430322 | 1 0.19 61.80 430323 | 1 0.19 62.00 430324 | 1 0.19 62.19 430325 | 1 0.19 62.38 430326 | 1 0.19 62.57 430327 | 1 0.19 62.76 430328 | 1 0.19 62.96 430329 | 1 0.19 63.15 430330 | 1 0.19 63.34 430331 | 1 0.19 63.53 430332 | 1 0.19 63.72 430333 | 1 0.19 63.92 430334 | 1 0.19 64.11 430335 | 1 0.19 64.30 430336 | 1 0.19 64.49 430337 | 1 0.19 64.68 430338 | 1 0.19 64.88 430339 | 1 0.19 65.07 430340 | 1 0.19 65.26 430341 | 1 0.19 65.45 430342 | 1 0.19 65.64 430343 | 1 0.19 65.83 430344 | 1 0.19 66.03 430345 | 1 0.19 66.22 430346 | 1 0.19 66.41 430347 | 1 0.19 66.60 430348 | 1 0.19 66.79 430349 | 1 0.19 66.99 430350 | 1 0.19 67.18 430351 | 1 0.19 67.37 430352 | 1 0.19 67.56 430353 | 1 0.19 67.75 430354 | 1 0.19 67.95 430355 | 1 0.19 68.14 430356 | 1 0.19 68.33 430357 | 1 0.19 68.52 430358 | 1 0.19 68.71 430359 | 1 0.19 68.91 430360 | 1 0.19 69.10 430361 | 1 0.19 69.29 430362 | 1 0.19 69.48 430363 | 1 0.19 69.67 430364 | 1 0.19 69.87 430365 | 1 0.19 70.06 430366 | 1 0.19 70.25 430367 | 1 0.19 70.44 430368 | 1 0.19 70.63 430369 | 1 0.19 70.83 430370 | 1 0.19 71.02 430371 | 1 0.19 71.21 430372 | 1 0.19 71.40 430373 | 1 0.19 71.59 430374 | 1 0.19 71.79 430375 | 1 0.19 71.98 430376 | 1 0.19 72.17 430377 | 1 0.19 72.36 430378 | 1 0.19 72.55 430379 | 1 0.19 72.74 430380 | 1 0.19 72.94 430381 | 1 0.19 73.13 430382 | 1 0.19 73.32 430383 | 1 0.19 73.51 430384 | 1 0.19 73.70 430385 | 1 0.19 73.90 430386 | 1 0.19 74.09 430387 | 1 0.19 74.28 430388 | 1 0.19 74.47 430389 | 1 0.19 74.66 430390 | 1 0.19 74.86 430391 | 1 0.19 75.05 430392 | 1 0.19 75.24 430393 | 1 0.19 75.43 430394 | 1 0.19 75.62 430395 | 1 0.19 75.82 430396 | 1 0.19 76.01 430397 | 1 0.19 76.20 430398 | 1 0.19 76.39 430399 | 1 0.19 76.58 430400 | 1 0.19 76.78 430401 | 1 0.19 76.97 430402 | 1 0.19 77.16 430403 | 1 0.19 77.35 430404 | 1 0.19 77.54 430405 | 1 0.19 77.74 430406 | 1 0.19 77.93 430407 | 1 0.19 78.12 430408 | 1 0.19 78.31 430409 | 1 0.19 78.50 430410 | 1 0.19 78.69 430411 | 1 0.19 78.89 430412 | 1 0.19 79.08 430413 | 1 0.19 79.27 430414 | 1 0.19 79.46 430415 | 1 0.19 79.65 430416 | 1 0.19 79.85 430417 | 1 0.19 80.04 430418 | 1 0.19 80.23 430419 | 1 0.19 80.42 430420 | 1 0.19 80.61 430421 | 1 0.19 80.81 430422 | 1 0.19 81.00 430423 | 1 0.19 81.19 430424 | 1 0.19 81.38 430425 | 1 0.19 81.57 430426 | 1 0.19 81.77 430427 | 1 0.19 81.96 430428 | 1 0.19 82.15 430429 | 1 0.19 82.34 430430 | 1 0.19 82.53 430431 | 1 0.19 82.73 430432 | 1 0.19 82.92 430433 | 1 0.19 83.11 430434 | 1 0.19 83.30 430435 | 1 0.19 83.49 430436 | 1 0.19 83.69 430437 | 1 0.19 83.88 430438 | 1 0.19 84.07 430439 | 1 0.19 84.26 430440 | 1 0.19 84.45 430441 | 1 0.19 84.64 430442 | 1 0.19 84.84 430443 | 1 0.19 85.03 430444 | 1 0.19 85.22 430445 | 1 0.19 85.41 430446 | 1 0.19 85.60 430447 | 1 0.19 85.80 430448 | 1 0.19 85.99 430449 | 1 0.19 86.18 430450 | 1 0.19 86.37 430451 | 1 0.19 86.56 430452 | 1 0.19 86.76 430453 | 1 0.19 86.95 430454 | 1 0.19 87.14 430455 | 1 0.19 87.33 430456 | 1 0.19 87.52 430457 | 1 0.19 87.72 430458 | 1 0.19 87.91 430459 | 1 0.19 88.10 430460 | 1 0.19 88.29 430461 | 1 0.19 88.48 430462 | 1 0.19 88.68 430463 | 1 0.19 88.87 430464 | 1 0.19 89.06 430465 | 1 0.19 89.25 430466 | 1 0.19 89.44 430467 | 1 0.19 89.64 430468 | 1 0.19 89.83 430469 | 1 0.19 90.02 430470 | 1 0.19 90.21 430471 | 1 0.19 90.40 430472 | 1 0.19 90.60 430473 | 1 0.19 90.79 430474 | 1 0.19 90.98 430475 | 1 0.19 91.17 430476 | 1 0.19 91.36 430477 | 1 0.19 91.55 430478 | 1 0.19 91.75 430479 | 1 0.19 91.94 430480 | 1 0.19 92.13 430481 | 1 0.19 92.32 430482 | 1 0.19 92.51 430483 | 1 0.19 92.71 430484 | 1 0.19 92.90 430485 | 1 0.19 93.09 430486 | 1 0.19 93.28 430487 | 1 0.19 93.47 430488 | 1 0.19 93.67 430489 | 1 0.19 93.86 430490 | 1 0.19 94.05 430491 | 1 0.19 94.24 430492 | 1 0.19 94.43 430493 | 1 0.19 94.63 430494 | 1 0.19 94.82 430495 | 1 0.19 95.01 430496 | 1 0.19 95.20 430497 | 1 0.19 95.39 430498 | 1 0.19 95.59 430499 | 1 0.19 95.78 430500 | 1 0.19 95.97 430501 | 1 0.19 96.16 430502 | 1 0.19 96.35 430503 | 1 0.19 96.55 430504 | 1 0.19 96.74 430505 | 1 0.19 96.93 430506 | 1 0.19 97.12 430507 | 1 0.19 97.31 430508 | 1 0.19 97.50 430509 | 1 0.19 97.70 430510 | 1 0.19 97.89 430511 | 1 0.19 98.08 430512 | 1 0.19 98.27 430513 | 1 0.19 98.46 430514 | 1 0.19 98.66 430515 | 1 0.19 98.85 430516 | 1 0.19 99.04 430517 | 1 0.19 99.23 430518 | 1 0.19 99.42 430519 | 1 0.19 99.62 430520 | 1 0.19 99.81 430521 | 1 0.19 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 521 100.00 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 521 100.00 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 216 41.46 41.46 2 | 305 58.54 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 1 | 106 20.35 20.35 2 | 415 79.65 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 361 69.29 69.29 2 | 16 3.07 72.36 3 | 8 1.54 73.90 4 | 136 26.10 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 37 7.10 7.10 2 | 484 92.90 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 1 | 106 20.35 20.35 2 | 3 0.58 20.92 3 | 99 19.00 39.92 4 | 108 20.73 60.65 5 | 138 26.49 87.14 6 | 67 12.86 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 37 7.10 7.10 2 | 484 92.90 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 341 65.45 65.45 2 | 34 6.53 71.98 3 | 57 10.94 82.92 4 | 78 14.97 97.89 5 | 11 2.11 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 3 | 521 100.00 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 190 36.47 36.47 2 | 331 63.53 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 261 50.10 50.10 2 | 260 49.90 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 38 7.29 7.29 2 | 483 92.71 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 339 65.07 65.07 2 | 159 30.52 95.59 3 | 23 4.41 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 1 | 47 9.02 9.02 2 | 474 90.98 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 49 9.40 9.40 2 | 472 90.60 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 249 47.79 47.79 2 | 272 52.21 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 182 34.93 34.93 2 | 339 65.07 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 11 2.11 2.11 2 | 510 97.89 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 38 7.29 7.29 2 | 483 92.71 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 1 | 2 0.38 0.38 2 | 519 99.62 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 138 26.49 26.49 2 | 202 38.77 65.26 3 | 181 34.74 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 72 13.82 13.82 2 | 449 86.18 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 71 13.63 13.63 2 | 450 86.37 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 107 20.54 20.54 2 | 414 79.46 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 106 20.35 20.35 2 | 415 79.65 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 37 7.10 7.10 2 | 484 92.90 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 114 21.88 21.88 2 | 407 78.12 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 210 40.31 40.31 2 | 311 59.69 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 2 | 521 100.00 100.00 ------------+----------------------------------- Total | 521 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 6 1.15 1.15 2 | 515 98.85 100.00 ------------+----------------------------------- Total | 521 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016