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. ------------+----------------------------------- 1991 | 463 100.00 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for state variable in acc_aux dataset : state | Freq. Percent Cum. ------------+----------------------------------- 43 | 463 100.00 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for county variable in acc_aux dataset : county | Freq. Percent Cum. ------------+----------------------------------- 72 | 463 100.00 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for fatals variable in acc_aux dataset : fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 435 93.95 93.95 2 | 24 5.18 99.14 3 | 4 0.86 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for st_case variable in acc_aux dataset : st_case | Freq. Percent Cum. ------------+----------------------------------- 430001 | 1 0.22 0.22 430002 | 1 0.22 0.43 430004 | 1 0.22 0.65 430005 | 1 0.22 0.86 430006 | 1 0.22 1.08 430007 | 1 0.22 1.30 430008 | 1 0.22 1.51 430009 | 1 0.22 1.73 430010 | 1 0.22 1.94 430011 | 1 0.22 2.16 430012 | 1 0.22 2.38 430013 | 1 0.22 2.59 430014 | 1 0.22 2.81 430015 | 1 0.22 3.02 430016 | 1 0.22 3.24 430017 | 1 0.22 3.46 430018 | 1 0.22 3.67 430019 | 1 0.22 3.89 430020 | 1 0.22 4.10 430021 | 1 0.22 4.32 430022 | 1 0.22 4.54 430023 | 1 0.22 4.75 430024 | 1 0.22 4.97 430025 | 1 0.22 5.18 430026 | 1 0.22 5.40 430027 | 1 0.22 5.62 430028 | 1 0.22 5.83 430029 | 1 0.22 6.05 430030 | 1 0.22 6.26 430031 | 1 0.22 6.48 430032 | 1 0.22 6.70 430033 | 1 0.22 6.91 430034 | 1 0.22 7.13 430035 | 1 0.22 7.34 430036 | 1 0.22 7.56 430037 | 1 0.22 7.78 430038 | 1 0.22 7.99 430039 | 1 0.22 8.21 430041 | 1 0.22 8.42 430042 | 1 0.22 8.64 430043 | 1 0.22 8.86 430044 | 1 0.22 9.07 430045 | 1 0.22 9.29 430046 | 1 0.22 9.50 430047 | 1 0.22 9.72 430048 | 1 0.22 9.94 430049 | 1 0.22 10.15 430050 | 1 0.22 10.37 430051 | 1 0.22 10.58 430052 | 1 0.22 10.80 430053 | 1 0.22 11.02 430054 | 1 0.22 11.23 430055 | 1 0.22 11.45 430056 | 1 0.22 11.66 430057 | 1 0.22 11.88 430058 | 1 0.22 12.10 430059 | 1 0.22 12.31 430060 | 1 0.22 12.53 430061 | 1 0.22 12.74 430062 | 1 0.22 12.96 430063 | 1 0.22 13.17 430064 | 1 0.22 13.39 430065 | 1 0.22 13.61 430066 | 1 0.22 13.82 430067 | 1 0.22 14.04 430068 | 1 0.22 14.25 430069 | 1 0.22 14.47 430070 | 1 0.22 14.69 430072 | 1 0.22 14.90 430073 | 1 0.22 15.12 430074 | 1 0.22 15.33 430075 | 1 0.22 15.55 430076 | 1 0.22 15.77 430077 | 1 0.22 15.98 430078 | 1 0.22 16.20 430079 | 1 0.22 16.41 430080 | 1 0.22 16.63 430081 | 1 0.22 16.85 430082 | 1 0.22 17.06 430083 | 1 0.22 17.28 430084 | 1 0.22 17.49 430085 | 1 0.22 17.71 430086 | 1 0.22 17.93 430087 | 1 0.22 18.14 430088 | 1 0.22 18.36 430089 | 1 0.22 18.57 430090 | 1 0.22 18.79 430091 | 1 0.22 19.01 430092 | 1 0.22 19.22 430093 | 1 0.22 19.44 430094 | 1 0.22 19.65 430095 | 1 0.22 19.87 430096 | 1 0.22 20.09 430097 | 1 0.22 20.30 430098 | 1 0.22 20.52 430099 | 1 0.22 20.73 430100 | 1 0.22 20.95 430101 | 1 0.22 21.17 430102 | 1 0.22 21.38 430103 | 1 0.22 21.60 430104 | 1 0.22 21.81 430105 | 1 0.22 22.03 430106 | 1 0.22 22.25 430107 | 1 0.22 22.46 430108 | 1 0.22 22.68 430109 | 1 0.22 22.89 430110 | 1 0.22 23.11 430111 | 1 0.22 23.33 430112 | 1 0.22 23.54 430113 | 1 0.22 23.76 430114 | 1 0.22 23.97 430115 | 1 0.22 24.19 430116 | 1 0.22 24.41 430117 | 1 0.22 24.62 430118 | 1 0.22 24.84 430119 | 1 0.22 25.05 430120 | 1 0.22 25.27 430121 | 1 0.22 25.49 430122 | 1 0.22 25.70 430123 | 1 0.22 25.92 430124 | 1 0.22 26.13 430125 | 1 0.22 26.35 430126 | 1 0.22 26.57 430127 | 1 0.22 26.78 430128 | 1 0.22 27.00 430129 | 1 0.22 27.21 430130 | 1 0.22 27.43 430131 | 1 0.22 27.65 430132 | 1 0.22 27.86 430133 | 1 0.22 28.08 430134 | 1 0.22 28.29 430135 | 1 0.22 28.51 430136 | 1 0.22 28.73 430137 | 1 0.22 28.94 430138 | 1 0.22 29.16 430139 | 1 0.22 29.37 430140 | 1 0.22 29.59 430141 | 1 0.22 29.81 430142 | 1 0.22 30.02 430143 | 1 0.22 30.24 430144 | 1 0.22 30.45 430145 | 1 0.22 30.67 430146 | 1 0.22 30.89 430147 | 1 0.22 31.10 430148 | 1 0.22 31.32 430149 | 1 0.22 31.53 430150 | 1 0.22 31.75 430151 | 1 0.22 31.97 430152 | 1 0.22 32.18 430153 | 1 0.22 32.40 430154 | 1 0.22 32.61 430155 | 1 0.22 32.83 430157 | 1 0.22 33.05 430158 | 1 0.22 33.26 430159 | 1 0.22 33.48 430160 | 1 0.22 33.69 430161 | 1 0.22 33.91 430162 | 1 0.22 34.13 430163 | 1 0.22 34.34 430164 | 1 0.22 34.56 430165 | 1 0.22 34.77 430166 | 1 0.22 34.99 430167 | 1 0.22 35.21 430168 | 1 0.22 35.42 430169 | 1 0.22 35.64 430170 | 1 0.22 35.85 430171 | 1 0.22 36.07 430172 | 1 0.22 36.29 430173 | 1 0.22 36.50 430174 | 1 0.22 36.72 430175 | 1 0.22 36.93 430176 | 1 0.22 37.15 430177 | 1 0.22 37.37 430178 | 1 0.22 37.58 430179 | 1 0.22 37.80 430180 | 1 0.22 38.01 430181 | 1 0.22 38.23 430182 | 1 0.22 38.44 430183 | 1 0.22 38.66 430184 | 1 0.22 38.88 430185 | 1 0.22 39.09 430186 | 1 0.22 39.31 430187 | 1 0.22 39.52 430188 | 1 0.22 39.74 430189 | 1 0.22 39.96 430190 | 1 0.22 40.17 430191 | 1 0.22 40.39 430192 | 1 0.22 40.60 430193 | 1 0.22 40.82 430194 | 1 0.22 41.04 430195 | 1 0.22 41.25 430196 | 1 0.22 41.47 430197 | 1 0.22 41.68 430198 | 1 0.22 41.90 430199 | 1 0.22 42.12 430200 | 1 0.22 42.33 430201 | 1 0.22 42.55 430202 | 1 0.22 42.76 430203 | 1 0.22 42.98 430204 | 1 0.22 43.20 430205 | 1 0.22 43.41 430206 | 1 0.22 43.63 430207 | 1 0.22 43.84 430208 | 1 0.22 44.06 430210 | 1 0.22 44.28 430211 | 1 0.22 44.49 430212 | 1 0.22 44.71 430213 | 1 0.22 44.92 430214 | 1 0.22 45.14 430215 | 1 0.22 45.36 430216 | 1 0.22 45.57 430217 | 1 0.22 45.79 430218 | 1 0.22 46.00 430219 | 1 0.22 46.22 430220 | 1 0.22 46.44 430221 | 1 0.22 46.65 430222 | 1 0.22 46.87 430223 | 1 0.22 47.08 430224 | 1 0.22 47.30 430225 | 1 0.22 47.52 430226 | 1 0.22 47.73 430227 | 1 0.22 47.95 430228 | 1 0.22 48.16 430229 | 1 0.22 48.38 430230 | 1 0.22 48.60 430231 | 1 0.22 48.81 430232 | 1 0.22 49.03 430233 | 1 0.22 49.24 430234 | 1 0.22 49.46 430235 | 1 0.22 49.68 430236 | 1 0.22 49.89 430237 | 1 0.22 50.11 430238 | 1 0.22 50.32 430239 | 1 0.22 50.54 430240 | 1 0.22 50.76 430241 | 1 0.22 50.97 430242 | 1 0.22 51.19 430243 | 1 0.22 51.40 430244 | 1 0.22 51.62 430245 | 1 0.22 51.84 430246 | 1 0.22 52.05 430247 | 1 0.22 52.27 430248 | 1 0.22 52.48 430249 | 1 0.22 52.70 430250 | 1 0.22 52.92 430251 | 1 0.22 53.13 430252 | 1 0.22 53.35 430253 | 1 0.22 53.56 430254 | 1 0.22 53.78 430255 | 1 0.22 54.00 430256 | 1 0.22 54.21 430257 | 1 0.22 54.43 430258 | 1 0.22 54.64 430259 | 1 0.22 54.86 430260 | 1 0.22 55.08 430261 | 1 0.22 55.29 430262 | 1 0.22 55.51 430263 | 1 0.22 55.72 430264 | 1 0.22 55.94 430265 | 1 0.22 56.16 430266 | 1 0.22 56.37 430267 | 1 0.22 56.59 430268 | 1 0.22 56.80 430269 | 1 0.22 57.02 430270 | 1 0.22 57.24 430271 | 1 0.22 57.45 430272 | 1 0.22 57.67 430273 | 1 0.22 57.88 430274 | 1 0.22 58.10 430275 | 1 0.22 58.32 430276 | 1 0.22 58.53 430277 | 1 0.22 58.75 430278 | 1 0.22 58.96 430279 | 1 0.22 59.18 430280 | 1 0.22 59.40 430281 | 1 0.22 59.61 430282 | 1 0.22 59.83 430283 | 1 0.22 60.04 430284 | 1 0.22 60.26 430285 | 1 0.22 60.48 430286 | 1 0.22 60.69 430287 | 1 0.22 60.91 430288 | 1 0.22 61.12 430289 | 1 0.22 61.34 430290 | 1 0.22 61.56 430291 | 1 0.22 61.77 430292 | 1 0.22 61.99 430293 | 1 0.22 62.20 430294 | 1 0.22 62.42 430295 | 1 0.22 62.63 430297 | 1 0.22 62.85 430298 | 1 0.22 63.07 430299 | 1 0.22 63.28 430300 | 1 0.22 63.50 430301 | 1 0.22 63.71 430302 | 1 0.22 63.93 430303 | 1 0.22 64.15 430304 | 1 0.22 64.36 430305 | 1 0.22 64.58 430306 | 1 0.22 64.79 430307 | 1 0.22 65.01 430308 | 1 0.22 65.23 430309 | 1 0.22 65.44 430310 | 1 0.22 65.66 430311 | 1 0.22 65.87 430312 | 1 0.22 66.09 430313 | 1 0.22 66.31 430314 | 1 0.22 66.52 430315 | 1 0.22 66.74 430316 | 1 0.22 66.95 430317 | 1 0.22 67.17 430318 | 1 0.22 67.39 430319 | 1 0.22 67.60 430320 | 1 0.22 67.82 430321 | 1 0.22 68.03 430322 | 1 0.22 68.25 430323 | 1 0.22 68.47 430324 | 1 0.22 68.68 430325 | 1 0.22 68.90 430326 | 1 0.22 69.11 430327 | 1 0.22 69.33 430328 | 1 0.22 69.55 430329 | 1 0.22 69.76 430330 | 1 0.22 69.98 430331 | 1 0.22 70.19 430332 | 1 0.22 70.41 430333 | 1 0.22 70.63 430334 | 1 0.22 70.84 430335 | 1 0.22 71.06 430336 | 1 0.22 71.27 430337 | 1 0.22 71.49 430338 | 1 0.22 71.71 430339 | 1 0.22 71.92 430340 | 1 0.22 72.14 430341 | 1 0.22 72.35 430342 | 1 0.22 72.57 430343 | 1 0.22 72.79 430344 | 1 0.22 73.00 430345 | 1 0.22 73.22 430346 | 1 0.22 73.43 430347 | 1 0.22 73.65 430348 | 1 0.22 73.87 430349 | 1 0.22 74.08 430350 | 1 0.22 74.30 430351 | 1 0.22 74.51 430352 | 1 0.22 74.73 430353 | 1 0.22 74.95 430354 | 1 0.22 75.16 430355 | 1 0.22 75.38 430356 | 1 0.22 75.59 430357 | 1 0.22 75.81 430358 | 1 0.22 76.03 430359 | 1 0.22 76.24 430360 | 1 0.22 76.46 430361 | 1 0.22 76.67 430362 | 1 0.22 76.89 430363 | 1 0.22 77.11 430364 | 1 0.22 77.32 430365 | 1 0.22 77.54 430366 | 1 0.22 77.75 430367 | 1 0.22 77.97 430368 | 1 0.22 78.19 430369 | 1 0.22 78.40 430370 | 1 0.22 78.62 430371 | 1 0.22 78.83 430373 | 1 0.22 79.05 430374 | 1 0.22 79.27 430375 | 1 0.22 79.48 430376 | 1 0.22 79.70 430377 | 1 0.22 79.91 430378 | 1 0.22 80.13 430379 | 1 0.22 80.35 430381 | 1 0.22 80.56 430382 | 1 0.22 80.78 430383 | 1 0.22 80.99 430384 | 1 0.22 81.21 430385 | 1 0.22 81.43 430386 | 1 0.22 81.64 430387 | 1 0.22 81.86 430388 | 1 0.22 82.07 430389 | 1 0.22 82.29 430390 | 1 0.22 82.51 430391 | 1 0.22 82.72 430392 | 1 0.22 82.94 430393 | 1 0.22 83.15 430394 | 1 0.22 83.37 430395 | 1 0.22 83.59 430396 | 1 0.22 83.80 430397 | 1 0.22 84.02 430398 | 1 0.22 84.23 430399 | 1 0.22 84.45 430400 | 1 0.22 84.67 430401 | 1 0.22 84.88 430402 | 1 0.22 85.10 430403 | 1 0.22 85.31 430404 | 1 0.22 85.53 430405 | 1 0.22 85.75 430406 | 1 0.22 85.96 430407 | 1 0.22 86.18 430408 | 1 0.22 86.39 430409 | 1 0.22 86.61 430410 | 1 0.22 86.83 430411 | 1 0.22 87.04 430412 | 1 0.22 87.26 430413 | 1 0.22 87.47 430414 | 1 0.22 87.69 430415 | 1 0.22 87.90 430416 | 1 0.22 88.12 430417 | 1 0.22 88.34 430418 | 1 0.22 88.55 430419 | 1 0.22 88.77 430420 | 1 0.22 88.98 430421 | 1 0.22 89.20 430422 | 1 0.22 89.42 430423 | 1 0.22 89.63 430424 | 1 0.22 89.85 430425 | 1 0.22 90.06 430426 | 1 0.22 90.28 430427 | 1 0.22 90.50 430429 | 1 0.22 90.71 430430 | 1 0.22 90.93 430431 | 1 0.22 91.14 430432 | 1 0.22 91.36 430433 | 1 0.22 91.58 430435 | 1 0.22 91.79 430436 | 1 0.22 92.01 430437 | 1 0.22 92.22 430438 | 1 0.22 92.44 430439 | 1 0.22 92.66 430440 | 1 0.22 92.87 430441 | 1 0.22 93.09 430442 | 1 0.22 93.30 430443 | 1 0.22 93.52 430444 | 1 0.22 93.74 430445 | 1 0.22 93.95 430446 | 1 0.22 94.17 430447 | 1 0.22 94.38 430448 | 1 0.22 94.60 430449 | 1 0.22 94.82 430450 | 1 0.22 95.03 430451 | 1 0.22 95.25 430452 | 1 0.22 95.46 430453 | 1 0.22 95.68 430454 | 1 0.22 95.90 430455 | 1 0.22 96.11 430456 | 1 0.22 96.33 430457 | 1 0.22 96.54 430458 | 1 0.22 96.76 430459 | 1 0.22 96.98 430460 | 1 0.22 97.19 430461 | 1 0.22 97.41 430463 | 1 0.22 97.62 430464 | 1 0.22 97.84 430465 | 1 0.22 98.06 430466 | 1 0.22 98.27 430467 | 1 0.22 98.49 430468 | 1 0.22 98.70 430469 | 1 0.22 98.92 430470 | 1 0.22 99.14 430471 | 1 0.22 99.35 430472 | 1 0.22 99.57 430473 | 1 0.22 99.78 430474 | 1 0.22 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 463 100.00 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 463 100.00 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 237 51.19 51.19 2 | 226 48.81 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 1 | 101 21.81 21.81 2 | 362 78.19 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 312 67.39 67.39 2 | 11 2.38 69.76 3 | 1 0.22 69.98 4 | 139 30.02 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 33 7.13 7.13 2 | 430 92.87 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 1 | 101 21.81 21.81 2 | 8 1.73 23.54 3 | 17 3.67 27.21 4 | 60 12.96 40.17 5 | 112 24.19 64.36 6 | 165 35.64 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 33 7.13 7.13 2 | 429 92.66 99.78 3 | 1 0.22 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 328 70.84 70.84 2 | 16 3.46 74.30 3 | 65 14.04 88.34 4 | 48 10.37 98.70 5 | 6 1.30 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 3 | 463 100.00 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 169 36.50 36.50 2 | 293 63.28 99.78 3 | 1 0.22 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 235 50.76 50.76 2 | 228 49.24 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 22 4.75 4.75 2 | 441 95.25 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 320 69.11 69.11 2 | 123 26.57 95.68 3 | 20 4.32 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 1 | 38 8.21 8.21 2 | 425 91.79 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 27 5.83 5.83 2 | 436 94.17 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 205 44.28 44.28 2 | 258 55.72 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 172 37.15 37.15 2 | 291 62.85 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 13 2.81 2.81 2 | 450 97.19 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 24 5.18 5.18 2 | 439 94.82 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 1 | 1 0.22 0.22 2 | 462 99.78 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 150 32.40 32.40 2 | 160 34.56 66.95 3 | 153 33.05 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 53 11.45 11.45 2 | 410 88.55 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 51 11.02 11.02 2 | 412 88.98 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 69 14.90 14.90 2 | 394 85.10 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 67 14.47 14.47 2 | 396 85.53 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 28 6.05 6.05 2 | 435 93.95 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 84 18.14 18.14 2 | 379 81.86 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 147 31.75 31.75 2 | 316 68.25 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 1 0.22 0.22 2 | 462 99.78 100.00 ------------+----------------------------------- Total | 463 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 1 0.22 0.22 2 | 462 99.78 100.00 ------------+----------------------------------- Total | 463 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016