Frequencies for acc_aux dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Frequencies for year variable in acc_aux dataset : Accident | Date-Year | Freq. Percent Cum. ------------+----------------------------------- 1984 | 505 100.00 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for state variable in acc_aux dataset : State | Freq. Percent Cum. ------------+----------------------------------- 43 | 505 100.00 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for county variable in acc_aux dataset : County | Freq. Percent Cum. ------------+----------------------------------- 72 | 505 100.00 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for fatals variable in acc_aux dataset : Accident | Fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 475 94.06 94.06 2 | 25 4.95 99.01 3 | 3 0.59 99.60 5 | 1 0.20 99.80 6 | 1 0.20 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for st_case variable in acc_aux dataset : State/Case | Number | Freq. Percent Cum. ------------+----------------------------------- 430001 | 1 0.20 0.20 430002 | 1 0.20 0.40 430003 | 1 0.20 0.59 430004 | 1 0.20 0.79 430005 | 1 0.20 0.99 430006 | 1 0.20 1.19 430007 | 1 0.20 1.39 430008 | 1 0.20 1.58 430009 | 1 0.20 1.78 430010 | 1 0.20 1.98 430011 | 1 0.20 2.18 430012 | 1 0.20 2.38 430013 | 1 0.20 2.57 430014 | 1 0.20 2.77 430015 | 1 0.20 2.97 430016 | 1 0.20 3.17 430017 | 1 0.20 3.37 430018 | 1 0.20 3.56 430019 | 1 0.20 3.76 430020 | 1 0.20 3.96 430021 | 1 0.20 4.16 430022 | 1 0.20 4.36 430023 | 1 0.20 4.55 430024 | 1 0.20 4.75 430025 | 1 0.20 4.95 430026 | 1 0.20 5.15 430027 | 1 0.20 5.35 430028 | 1 0.20 5.54 430029 | 1 0.20 5.74 430030 | 1 0.20 5.94 430031 | 1 0.20 6.14 430032 | 1 0.20 6.34 430033 | 1 0.20 6.53 430034 | 1 0.20 6.73 430035 | 1 0.20 6.93 430036 | 1 0.20 7.13 430037 | 1 0.20 7.33 430038 | 1 0.20 7.52 430039 | 1 0.20 7.72 430040 | 1 0.20 7.92 430041 | 1 0.20 8.12 430042 | 1 0.20 8.32 430043 | 1 0.20 8.51 430044 | 1 0.20 8.71 430045 | 1 0.20 8.91 430046 | 1 0.20 9.11 430047 | 1 0.20 9.31 430048 | 1 0.20 9.50 430049 | 1 0.20 9.70 430050 | 1 0.20 9.90 430051 | 1 0.20 10.10 430052 | 1 0.20 10.30 430053 | 1 0.20 10.50 430054 | 1 0.20 10.69 430055 | 1 0.20 10.89 430056 | 1 0.20 11.09 430057 | 1 0.20 11.29 430058 | 1 0.20 11.49 430059 | 1 0.20 11.68 430060 | 1 0.20 11.88 430061 | 1 0.20 12.08 430062 | 1 0.20 12.28 430063 | 1 0.20 12.48 430064 | 1 0.20 12.67 430065 | 1 0.20 12.87 430066 | 1 0.20 13.07 430067 | 1 0.20 13.27 430068 | 1 0.20 13.47 430069 | 1 0.20 13.66 430070 | 1 0.20 13.86 430071 | 1 0.20 14.06 430072 | 1 0.20 14.26 430073 | 1 0.20 14.46 430074 | 1 0.20 14.65 430075 | 1 0.20 14.85 430076 | 1 0.20 15.05 430077 | 1 0.20 15.25 430078 | 1 0.20 15.45 430079 | 1 0.20 15.64 430080 | 1 0.20 15.84 430081 | 1 0.20 16.04 430082 | 1 0.20 16.24 430083 | 1 0.20 16.44 430084 | 1 0.20 16.63 430085 | 1 0.20 16.83 430086 | 1 0.20 17.03 430087 | 1 0.20 17.23 430088 | 1 0.20 17.43 430089 | 1 0.20 17.62 430090 | 1 0.20 17.82 430091 | 1 0.20 18.02 430092 | 1 0.20 18.22 430093 | 1 0.20 18.42 430094 | 1 0.20 18.61 430095 | 1 0.20 18.81 430096 | 1 0.20 19.01 430097 | 1 0.20 19.21 430098 | 1 0.20 19.41 430099 | 1 0.20 19.60 430100 | 1 0.20 19.80 430101 | 1 0.20 20.00 430102 | 1 0.20 20.20 430103 | 1 0.20 20.40 430104 | 1 0.20 20.59 430105 | 1 0.20 20.79 430106 | 1 0.20 20.99 430107 | 1 0.20 21.19 430108 | 1 0.20 21.39 430109 | 1 0.20 21.58 430110 | 1 0.20 21.78 430111 | 1 0.20 21.98 430112 | 1 0.20 22.18 430113 | 1 0.20 22.38 430114 | 1 0.20 22.57 430115 | 1 0.20 22.77 430116 | 1 0.20 22.97 430117 | 1 0.20 23.17 430118 | 1 0.20 23.37 430119 | 1 0.20 23.56 430120 | 1 0.20 23.76 430121 | 1 0.20 23.96 430122 | 1 0.20 24.16 430123 | 1 0.20 24.36 430124 | 1 0.20 24.55 430125 | 1 0.20 24.75 430126 | 1 0.20 24.95 430127 | 1 0.20 25.15 430128 | 1 0.20 25.35 430129 | 1 0.20 25.54 430130 | 1 0.20 25.74 430131 | 1 0.20 25.94 430132 | 1 0.20 26.14 430133 | 1 0.20 26.34 430134 | 1 0.20 26.53 430135 | 1 0.20 26.73 430136 | 1 0.20 26.93 430137 | 1 0.20 27.13 430138 | 1 0.20 27.33 430139 | 1 0.20 27.52 430140 | 1 0.20 27.72 430141 | 1 0.20 27.92 430142 | 1 0.20 28.12 430143 | 1 0.20 28.32 430144 | 1 0.20 28.51 430145 | 1 0.20 28.71 430146 | 1 0.20 28.91 430147 | 1 0.20 29.11 430148 | 1 0.20 29.31 430149 | 1 0.20 29.50 430150 | 1 0.20 29.70 430151 | 1 0.20 29.90 430152 | 1 0.20 30.10 430153 | 1 0.20 30.30 430154 | 1 0.20 30.50 430155 | 1 0.20 30.69 430156 | 1 0.20 30.89 430157 | 1 0.20 31.09 430158 | 1 0.20 31.29 430159 | 1 0.20 31.49 430160 | 1 0.20 31.68 430161 | 1 0.20 31.88 430162 | 1 0.20 32.08 430163 | 1 0.20 32.28 430164 | 1 0.20 32.48 430165 | 1 0.20 32.67 430166 | 1 0.20 32.87 430167 | 1 0.20 33.07 430168 | 1 0.20 33.27 430169 | 1 0.20 33.47 430170 | 1 0.20 33.66 430171 | 1 0.20 33.86 430172 | 1 0.20 34.06 430173 | 1 0.20 34.26 430174 | 1 0.20 34.46 430175 | 1 0.20 34.65 430176 | 1 0.20 34.85 430177 | 1 0.20 35.05 430178 | 1 0.20 35.25 430179 | 1 0.20 35.45 430180 | 1 0.20 35.64 430181 | 1 0.20 35.84 430182 | 1 0.20 36.04 430183 | 1 0.20 36.24 430184 | 1 0.20 36.44 430185 | 1 0.20 36.63 430187 | 1 0.20 36.83 430188 | 1 0.20 37.03 430189 | 1 0.20 37.23 430190 | 1 0.20 37.43 430191 | 1 0.20 37.62 430192 | 1 0.20 37.82 430193 | 1 0.20 38.02 430194 | 1 0.20 38.22 430195 | 1 0.20 38.42 430196 | 1 0.20 38.61 430197 | 1 0.20 38.81 430198 | 1 0.20 39.01 430199 | 1 0.20 39.21 430200 | 1 0.20 39.41 430201 | 1 0.20 39.60 430202 | 1 0.20 39.80 430203 | 1 0.20 40.00 430204 | 1 0.20 40.20 430205 | 1 0.20 40.40 430206 | 1 0.20 40.59 430207 | 1 0.20 40.79 430208 | 1 0.20 40.99 430209 | 1 0.20 41.19 430210 | 1 0.20 41.39 430211 | 1 0.20 41.58 430212 | 1 0.20 41.78 430213 | 1 0.20 41.98 430214 | 1 0.20 42.18 430215 | 1 0.20 42.38 430216 | 1 0.20 42.57 430217 | 1 0.20 42.77 430218 | 1 0.20 42.97 430219 | 1 0.20 43.17 430220 | 1 0.20 43.37 430221 | 1 0.20 43.56 430222 | 1 0.20 43.76 430223 | 1 0.20 43.96 430224 | 1 0.20 44.16 430225 | 1 0.20 44.36 430226 | 1 0.20 44.55 430227 | 1 0.20 44.75 430228 | 1 0.20 44.95 430229 | 1 0.20 45.15 430230 | 1 0.20 45.35 430231 | 1 0.20 45.54 430232 | 1 0.20 45.74 430233 | 1 0.20 45.94 430234 | 1 0.20 46.14 430235 | 1 0.20 46.34 430236 | 1 0.20 46.53 430237 | 1 0.20 46.73 430238 | 1 0.20 46.93 430239 | 1 0.20 47.13 430240 | 1 0.20 47.33 430241 | 1 0.20 47.52 430242 | 1 0.20 47.72 430243 | 1 0.20 47.92 430244 | 1 0.20 48.12 430245 | 1 0.20 48.32 430246 | 1 0.20 48.51 430247 | 1 0.20 48.71 430248 | 1 0.20 48.91 430249 | 1 0.20 49.11 430250 | 1 0.20 49.31 430251 | 1 0.20 49.50 430252 | 1 0.20 49.70 430253 | 1 0.20 49.90 430254 | 1 0.20 50.10 430255 | 1 0.20 50.30 430256 | 1 0.20 50.50 430257 | 1 0.20 50.69 430258 | 1 0.20 50.89 430259 | 1 0.20 51.09 430260 | 1 0.20 51.29 430261 | 1 0.20 51.49 430262 | 1 0.20 51.68 430264 | 1 0.20 51.88 430265 | 1 0.20 52.08 430266 | 1 0.20 52.28 430267 | 1 0.20 52.48 430268 | 1 0.20 52.67 430269 | 1 0.20 52.87 430270 | 1 0.20 53.07 430271 | 1 0.20 53.27 430272 | 1 0.20 53.47 430273 | 1 0.20 53.66 430274 | 1 0.20 53.86 430275 | 1 0.20 54.06 430276 | 1 0.20 54.26 430277 | 1 0.20 54.46 430278 | 1 0.20 54.65 430279 | 1 0.20 54.85 430280 | 1 0.20 55.05 430281 | 1 0.20 55.25 430282 | 1 0.20 55.45 430283 | 1 0.20 55.64 430284 | 1 0.20 55.84 430285 | 1 0.20 56.04 430286 | 1 0.20 56.24 430287 | 1 0.20 56.44 430288 | 1 0.20 56.63 430289 | 1 0.20 56.83 430290 | 1 0.20 57.03 430291 | 1 0.20 57.23 430292 | 1 0.20 57.43 430293 | 1 0.20 57.62 430294 | 1 0.20 57.82 430295 | 1 0.20 58.02 430296 | 1 0.20 58.22 430297 | 1 0.20 58.42 430298 | 1 0.20 58.61 430299 | 1 0.20 58.81 430300 | 1 0.20 59.01 430301 | 1 0.20 59.21 430302 | 1 0.20 59.41 430303 | 1 0.20 59.60 430304 | 1 0.20 59.80 430305 | 1 0.20 60.00 430306 | 1 0.20 60.20 430307 | 1 0.20 60.40 430308 | 1 0.20 60.59 430309 | 1 0.20 60.79 430310 | 1 0.20 60.99 430311 | 1 0.20 61.19 430312 | 1 0.20 61.39 430313 | 1 0.20 61.58 430314 | 1 0.20 61.78 430315 | 1 0.20 61.98 430317 | 1 0.20 62.18 430318 | 1 0.20 62.38 430319 | 1 0.20 62.57 430320 | 1 0.20 62.77 430321 | 1 0.20 62.97 430322 | 1 0.20 63.17 430323 | 1 0.20 63.37 430324 | 1 0.20 63.56 430325 | 1 0.20 63.76 430326 | 1 0.20 63.96 430327 | 1 0.20 64.16 430328 | 1 0.20 64.36 430329 | 1 0.20 64.55 430330 | 1 0.20 64.75 430331 | 1 0.20 64.95 430332 | 1 0.20 65.15 430333 | 1 0.20 65.35 430334 | 1 0.20 65.54 430335 | 1 0.20 65.74 430336 | 1 0.20 65.94 430337 | 1 0.20 66.14 430338 | 1 0.20 66.34 430339 | 1 0.20 66.53 430340 | 1 0.20 66.73 430341 | 1 0.20 66.93 430342 | 1 0.20 67.13 430343 | 1 0.20 67.33 430344 | 1 0.20 67.52 430345 | 1 0.20 67.72 430346 | 1 0.20 67.92 430347 | 1 0.20 68.12 430348 | 1 0.20 68.32 430349 | 1 0.20 68.51 430350 | 1 0.20 68.71 430351 | 1 0.20 68.91 430352 | 1 0.20 69.11 430353 | 1 0.20 69.31 430354 | 1 0.20 69.50 430355 | 1 0.20 69.70 430356 | 1 0.20 69.90 430357 | 1 0.20 70.10 430358 | 1 0.20 70.30 430359 | 1 0.20 70.50 430360 | 1 0.20 70.69 430361 | 1 0.20 70.89 430362 | 1 0.20 71.09 430363 | 1 0.20 71.29 430364 | 1 0.20 71.49 430365 | 1 0.20 71.68 430366 | 1 0.20 71.88 430367 | 1 0.20 72.08 430368 | 1 0.20 72.28 430369 | 1 0.20 72.48 430370 | 1 0.20 72.67 430371 | 1 0.20 72.87 430372 | 1 0.20 73.07 430373 | 1 0.20 73.27 430374 | 1 0.20 73.47 430375 | 1 0.20 73.66 430376 | 1 0.20 73.86 430377 | 1 0.20 74.06 430378 | 1 0.20 74.26 430379 | 1 0.20 74.46 430380 | 1 0.20 74.65 430381 | 1 0.20 74.85 430382 | 1 0.20 75.05 430383 | 1 0.20 75.25 430384 | 1 0.20 75.45 430385 | 1 0.20 75.64 430386 | 1 0.20 75.84 430387 | 1 0.20 76.04 430388 | 1 0.20 76.24 430389 | 1 0.20 76.44 430390 | 1 0.20 76.63 430391 | 1 0.20 76.83 430392 | 1 0.20 77.03 430393 | 1 0.20 77.23 430394 | 1 0.20 77.43 430395 | 1 0.20 77.62 430396 | 1 0.20 77.82 430397 | 1 0.20 78.02 430398 | 1 0.20 78.22 430399 | 1 0.20 78.42 430400 | 1 0.20 78.61 430401 | 1 0.20 78.81 430402 | 1 0.20 79.01 430403 | 1 0.20 79.21 430404 | 1 0.20 79.41 430405 | 1 0.20 79.60 430406 | 1 0.20 79.80 430407 | 1 0.20 80.00 430408 | 1 0.20 80.20 430409 | 1 0.20 80.40 430410 | 1 0.20 80.59 430411 | 1 0.20 80.79 430412 | 1 0.20 80.99 430413 | 1 0.20 81.19 430414 | 1 0.20 81.39 430415 | 1 0.20 81.58 430416 | 1 0.20 81.78 430417 | 1 0.20 81.98 430418 | 1 0.20 82.18 430419 | 1 0.20 82.38 430420 | 1 0.20 82.57 430421 | 1 0.20 82.77 430422 | 1 0.20 82.97 430423 | 1 0.20 83.17 430424 | 1 0.20 83.37 430425 | 1 0.20 83.56 430426 | 1 0.20 83.76 430427 | 1 0.20 83.96 430428 | 1 0.20 84.16 430429 | 1 0.20 84.36 430430 | 1 0.20 84.55 430431 | 1 0.20 84.75 430432 | 1 0.20 84.95 430433 | 1 0.20 85.15 430434 | 1 0.20 85.35 430435 | 1 0.20 85.54 430436 | 1 0.20 85.74 430437 | 1 0.20 85.94 430438 | 1 0.20 86.14 430439 | 1 0.20 86.34 430440 | 1 0.20 86.53 430441 | 1 0.20 86.73 430442 | 1 0.20 86.93 430443 | 1 0.20 87.13 430444 | 1 0.20 87.33 430445 | 1 0.20 87.52 430446 | 1 0.20 87.72 430447 | 1 0.20 87.92 430448 | 1 0.20 88.12 430449 | 1 0.20 88.32 430450 | 1 0.20 88.51 430451 | 1 0.20 88.71 430452 | 1 0.20 88.91 430453 | 1 0.20 89.11 430454 | 1 0.20 89.31 430455 | 1 0.20 89.50 430456 | 1 0.20 89.70 430457 | 1 0.20 89.90 430458 | 1 0.20 90.10 430459 | 1 0.20 90.30 430460 | 1 0.20 90.50 430461 | 1 0.20 90.69 430462 | 1 0.20 90.89 430463 | 1 0.20 91.09 430464 | 1 0.20 91.29 430465 | 1 0.20 91.49 430466 | 1 0.20 91.68 430467 | 1 0.20 91.88 430468 | 1 0.20 92.08 430469 | 1 0.20 92.28 430470 | 1 0.20 92.48 430471 | 1 0.20 92.67 430472 | 1 0.20 92.87 430473 | 1 0.20 93.07 430474 | 1 0.20 93.27 430475 | 1 0.20 93.47 430476 | 1 0.20 93.66 430477 | 1 0.20 93.86 430478 | 1 0.20 94.06 430479 | 1 0.20 94.26 430480 | 1 0.20 94.46 430481 | 1 0.20 94.65 430482 | 1 0.20 94.85 430483 | 1 0.20 95.05 430484 | 1 0.20 95.25 430485 | 1 0.20 95.45 430486 | 1 0.20 95.64 430487 | 1 0.20 95.84 430488 | 1 0.20 96.04 430489 | 1 0.20 96.24 430490 | 1 0.20 96.44 430491 | 1 0.20 96.63 430492 | 1 0.20 96.83 430493 | 1 0.20 97.03 430494 | 1 0.20 97.23 430495 | 1 0.20 97.43 430496 | 1 0.20 97.62 430497 | 1 0.20 97.82 430498 | 1 0.20 98.02 430499 | 1 0.20 98.22 430500 | 1 0.20 98.42 430501 | 1 0.20 98.61 430502 | 1 0.20 98.81 430503 | 1 0.20 99.01 430504 | 1 0.20 99.21 430505 | 1 0.20 99.41 430506 | 1 0.20 99.60 430507 | 1 0.20 99.80 430508 | 1 0.20 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 505 100.00 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 505 100.00 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 252 49.90 49.90 2 | 253 50.10 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 2 | 505 100.00 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 356 70.50 70.50 2 | 30 5.94 76.44 3 | 9 1.78 78.22 4 | 108 21.39 99.60 6 | 2 0.40 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 107 21.19 21.19 2 | 398 78.81 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 2 | 47 9.31 9.31 3 | 255 50.50 59.80 4 | 11 2.18 61.98 5 | 75 14.85 76.83 6 | 117 23.17 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 107 21.19 21.19 2 | 396 78.42 99.60 3 | 2 0.40 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 365 72.28 72.28 2 | 24 4.75 77.03 3 | 74 14.65 91.68 4 | 35 6.93 98.61 5 | 6 1.19 99.80 6 | 1 0.20 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 3 | 505 100.00 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 187 37.03 37.03 2 | 316 62.57 99.60 3 | 2 0.40 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 238 47.13 47.13 2 | 267 52.87 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 78 15.45 15.45 2 | 427 84.55 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 351 69.50 69.50 2 | 134 26.53 96.04 3 | 20 3.96 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 1 | 22 4.36 4.36 2 | 483 95.64 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 30 5.94 5.94 2 | 475 94.06 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 237 46.93 46.93 2 | 268 53.07 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 213 42.18 42.18 2 | 292 57.82 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 17 3.37 3.37 2 | 488 96.63 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 49 9.70 9.70 2 | 456 90.30 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 2 | 505 100.00 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 167 33.07 33.07 2 | 43 8.51 41.58 3 | 295 58.42 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 47 9.31 9.31 2 | 458 90.69 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 46 9.11 9.11 2 | 459 90.89 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 73 14.46 14.46 2 | 432 85.54 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 72 14.26 14.26 2 | 433 85.74 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 29 5.74 5.74 2 | 476 94.26 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 90 17.82 17.82 2 | 415 82.18 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 153 30.30 30.30 2 | 352 69.70 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 2 | 505 100.00 100.00 ------------+----------------------------------- Total | 505 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 2 0.40 0.40 2 | 503 99.60 100.00 ------------+----------------------------------- Total | 505 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016