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. ------------+----------------------------------- 2001 | 469 100.00 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for state variable in acc_aux dataset : state | Freq. Percent Cum. ------------+----------------------------------- 43 | 469 100.00 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for county variable in acc_aux dataset : county | Freq. Percent Cum. ------------+----------------------------------- 72 | 469 100.00 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for fatals variable in acc_aux dataset : fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 444 94.67 94.67 2 | 24 5.12 99.79 3 | 1 0.21 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for st_case variable in acc_aux dataset : st_case | Freq. Percent Cum. ------------+----------------------------------- 430001 | 1 0.21 0.21 430002 | 1 0.21 0.43 430003 | 1 0.21 0.64 430004 | 1 0.21 0.85 430005 | 1 0.21 1.07 430006 | 1 0.21 1.28 430007 | 1 0.21 1.49 430008 | 1 0.21 1.71 430009 | 1 0.21 1.92 430010 | 1 0.21 2.13 430011 | 1 0.21 2.35 430012 | 1 0.21 2.56 430013 | 1 0.21 2.77 430014 | 1 0.21 2.99 430015 | 1 0.21 3.20 430016 | 1 0.21 3.41 430017 | 1 0.21 3.62 430018 | 1 0.21 3.84 430019 | 1 0.21 4.05 430020 | 1 0.21 4.26 430021 | 1 0.21 4.48 430022 | 1 0.21 4.69 430023 | 1 0.21 4.90 430024 | 1 0.21 5.12 430025 | 1 0.21 5.33 430026 | 1 0.21 5.54 430027 | 1 0.21 5.76 430028 | 1 0.21 5.97 430029 | 1 0.21 6.18 430030 | 1 0.21 6.40 430031 | 1 0.21 6.61 430032 | 1 0.21 6.82 430033 | 1 0.21 7.04 430034 | 1 0.21 7.25 430035 | 1 0.21 7.46 430036 | 1 0.21 7.68 430037 | 1 0.21 7.89 430038 | 1 0.21 8.10 430039 | 1 0.21 8.32 430040 | 1 0.21 8.53 430041 | 1 0.21 8.74 430042 | 1 0.21 8.96 430043 | 1 0.21 9.17 430044 | 1 0.21 9.38 430045 | 1 0.21 9.59 430046 | 1 0.21 9.81 430047 | 1 0.21 10.02 430048 | 1 0.21 10.23 430049 | 1 0.21 10.45 430050 | 1 0.21 10.66 430051 | 1 0.21 10.87 430052 | 1 0.21 11.09 430053 | 1 0.21 11.30 430054 | 1 0.21 11.51 430055 | 1 0.21 11.73 430056 | 1 0.21 11.94 430057 | 1 0.21 12.15 430058 | 1 0.21 12.37 430059 | 1 0.21 12.58 430060 | 1 0.21 12.79 430061 | 1 0.21 13.01 430062 | 1 0.21 13.22 430063 | 1 0.21 13.43 430064 | 1 0.21 13.65 430065 | 1 0.21 13.86 430066 | 1 0.21 14.07 430067 | 1 0.21 14.29 430068 | 1 0.21 14.50 430069 | 1 0.21 14.71 430070 | 1 0.21 14.93 430071 | 1 0.21 15.14 430072 | 1 0.21 15.35 430073 | 1 0.21 15.57 430074 | 1 0.21 15.78 430075 | 1 0.21 15.99 430076 | 1 0.21 16.20 430077 | 1 0.21 16.42 430078 | 1 0.21 16.63 430079 | 1 0.21 16.84 430080 | 1 0.21 17.06 430081 | 1 0.21 17.27 430082 | 1 0.21 17.48 430083 | 1 0.21 17.70 430084 | 1 0.21 17.91 430085 | 1 0.21 18.12 430086 | 1 0.21 18.34 430087 | 1 0.21 18.55 430088 | 1 0.21 18.76 430089 | 1 0.21 18.98 430090 | 1 0.21 19.19 430091 | 1 0.21 19.40 430092 | 1 0.21 19.62 430093 | 1 0.21 19.83 430094 | 1 0.21 20.04 430095 | 1 0.21 20.26 430096 | 1 0.21 20.47 430097 | 1 0.21 20.68 430098 | 1 0.21 20.90 430099 | 1 0.21 21.11 430100 | 1 0.21 21.32 430101 | 1 0.21 21.54 430102 | 1 0.21 21.75 430103 | 1 0.21 21.96 430104 | 1 0.21 22.17 430105 | 1 0.21 22.39 430106 | 1 0.21 22.60 430107 | 1 0.21 22.81 430108 | 1 0.21 23.03 430109 | 1 0.21 23.24 430110 | 1 0.21 23.45 430111 | 1 0.21 23.67 430112 | 1 0.21 23.88 430113 | 1 0.21 24.09 430114 | 1 0.21 24.31 430115 | 1 0.21 24.52 430116 | 1 0.21 24.73 430117 | 1 0.21 24.95 430118 | 1 0.21 25.16 430119 | 1 0.21 25.37 430120 | 1 0.21 25.59 430121 | 1 0.21 25.80 430122 | 1 0.21 26.01 430123 | 1 0.21 26.23 430124 | 1 0.21 26.44 430125 | 1 0.21 26.65 430126 | 1 0.21 26.87 430127 | 1 0.21 27.08 430128 | 1 0.21 27.29 430129 | 1 0.21 27.51 430130 | 1 0.21 27.72 430131 | 1 0.21 27.93 430132 | 1 0.21 28.14 430133 | 1 0.21 28.36 430134 | 1 0.21 28.57 430135 | 1 0.21 28.78 430136 | 1 0.21 29.00 430137 | 1 0.21 29.21 430138 | 1 0.21 29.42 430139 | 1 0.21 29.64 430140 | 1 0.21 29.85 430141 | 1 0.21 30.06 430142 | 1 0.21 30.28 430143 | 1 0.21 30.49 430144 | 1 0.21 30.70 430145 | 1 0.21 30.92 430146 | 1 0.21 31.13 430147 | 1 0.21 31.34 430148 | 1 0.21 31.56 430149 | 1 0.21 31.77 430150 | 1 0.21 31.98 430151 | 1 0.21 32.20 430152 | 1 0.21 32.41 430153 | 1 0.21 32.62 430154 | 1 0.21 32.84 430155 | 1 0.21 33.05 430156 | 1 0.21 33.26 430157 | 1 0.21 33.48 430158 | 1 0.21 33.69 430159 | 1 0.21 33.90 430160 | 1 0.21 34.12 430161 | 1 0.21 34.33 430162 | 1 0.21 34.54 430163 | 1 0.21 34.75 430164 | 1 0.21 34.97 430165 | 1 0.21 35.18 430166 | 1 0.21 35.39 430167 | 1 0.21 35.61 430168 | 1 0.21 35.82 430169 | 1 0.21 36.03 430170 | 1 0.21 36.25 430171 | 1 0.21 36.46 430172 | 1 0.21 36.67 430173 | 1 0.21 36.89 430174 | 1 0.21 37.10 430175 | 1 0.21 37.31 430176 | 1 0.21 37.53 430177 | 1 0.21 37.74 430178 | 1 0.21 37.95 430179 | 1 0.21 38.17 430180 | 1 0.21 38.38 430181 | 1 0.21 38.59 430182 | 1 0.21 38.81 430183 | 1 0.21 39.02 430184 | 1 0.21 39.23 430185 | 1 0.21 39.45 430186 | 1 0.21 39.66 430187 | 1 0.21 39.87 430188 | 1 0.21 40.09 430189 | 1 0.21 40.30 430190 | 1 0.21 40.51 430191 | 1 0.21 40.72 430192 | 1 0.21 40.94 430193 | 1 0.21 41.15 430194 | 1 0.21 41.36 430195 | 1 0.21 41.58 430196 | 1 0.21 41.79 430197 | 1 0.21 42.00 430198 | 1 0.21 42.22 430199 | 1 0.21 42.43 430200 | 1 0.21 42.64 430201 | 1 0.21 42.86 430202 | 1 0.21 43.07 430203 | 1 0.21 43.28 430204 | 1 0.21 43.50 430205 | 1 0.21 43.71 430206 | 1 0.21 43.92 430207 | 1 0.21 44.14 430208 | 1 0.21 44.35 430209 | 1 0.21 44.56 430210 | 1 0.21 44.78 430211 | 1 0.21 44.99 430212 | 1 0.21 45.20 430213 | 1 0.21 45.42 430214 | 1 0.21 45.63 430215 | 1 0.21 45.84 430216 | 1 0.21 46.06 430217 | 1 0.21 46.27 430218 | 1 0.21 46.48 430219 | 1 0.21 46.70 430221 | 1 0.21 46.91 430222 | 1 0.21 47.12 430223 | 1 0.21 47.33 430224 | 1 0.21 47.55 430225 | 1 0.21 47.76 430226 | 1 0.21 47.97 430227 | 1 0.21 48.19 430228 | 1 0.21 48.40 430229 | 1 0.21 48.61 430230 | 1 0.21 48.83 430231 | 1 0.21 49.04 430232 | 1 0.21 49.25 430233 | 1 0.21 49.47 430234 | 1 0.21 49.68 430235 | 1 0.21 49.89 430236 | 1 0.21 50.11 430237 | 1 0.21 50.32 430238 | 1 0.21 50.53 430239 | 1 0.21 50.75 430240 | 1 0.21 50.96 430241 | 1 0.21 51.17 430242 | 1 0.21 51.39 430243 | 1 0.21 51.60 430244 | 1 0.21 51.81 430245 | 1 0.21 52.03 430246 | 1 0.21 52.24 430247 | 1 0.21 52.45 430248 | 1 0.21 52.67 430249 | 1 0.21 52.88 430250 | 1 0.21 53.09 430251 | 1 0.21 53.30 430252 | 1 0.21 53.52 430253 | 1 0.21 53.73 430254 | 1 0.21 53.94 430255 | 1 0.21 54.16 430256 | 1 0.21 54.37 430257 | 1 0.21 54.58 430258 | 1 0.21 54.80 430259 | 1 0.21 55.01 430260 | 1 0.21 55.22 430261 | 1 0.21 55.44 430262 | 1 0.21 55.65 430263 | 1 0.21 55.86 430264 | 1 0.21 56.08 430265 | 1 0.21 56.29 430266 | 1 0.21 56.50 430267 | 1 0.21 56.72 430268 | 1 0.21 56.93 430269 | 1 0.21 57.14 430270 | 1 0.21 57.36 430271 | 1 0.21 57.57 430272 | 1 0.21 57.78 430273 | 1 0.21 58.00 430274 | 1 0.21 58.21 430275 | 1 0.21 58.42 430276 | 1 0.21 58.64 430277 | 1 0.21 58.85 430278 | 1 0.21 59.06 430279 | 1 0.21 59.28 430280 | 1 0.21 59.49 430281 | 1 0.21 59.70 430282 | 1 0.21 59.91 430283 | 1 0.21 60.13 430284 | 1 0.21 60.34 430285 | 1 0.21 60.55 430286 | 1 0.21 60.77 430287 | 1 0.21 60.98 430288 | 1 0.21 61.19 430289 | 1 0.21 61.41 430290 | 1 0.21 61.62 430291 | 1 0.21 61.83 430292 | 1 0.21 62.05 430293 | 1 0.21 62.26 430294 | 1 0.21 62.47 430295 | 1 0.21 62.69 430296 | 1 0.21 62.90 430297 | 1 0.21 63.11 430298 | 1 0.21 63.33 430299 | 1 0.21 63.54 430300 | 1 0.21 63.75 430301 | 1 0.21 63.97 430302 | 1 0.21 64.18 430303 | 1 0.21 64.39 430304 | 1 0.21 64.61 430305 | 1 0.21 64.82 430306 | 1 0.21 65.03 430307 | 1 0.21 65.25 430308 | 1 0.21 65.46 430309 | 1 0.21 65.67 430310 | 1 0.21 65.88 430311 | 1 0.21 66.10 430312 | 1 0.21 66.31 430313 | 1 0.21 66.52 430314 | 1 0.21 66.74 430315 | 1 0.21 66.95 430316 | 1 0.21 67.16 430317 | 1 0.21 67.38 430318 | 1 0.21 67.59 430319 | 1 0.21 67.80 430320 | 1 0.21 68.02 430321 | 1 0.21 68.23 430322 | 1 0.21 68.44 430323 | 1 0.21 68.66 430324 | 1 0.21 68.87 430325 | 1 0.21 69.08 430326 | 1 0.21 69.30 430327 | 1 0.21 69.51 430328 | 1 0.21 69.72 430329 | 1 0.21 69.94 430330 | 1 0.21 70.15 430331 | 1 0.21 70.36 430332 | 1 0.21 70.58 430333 | 1 0.21 70.79 430334 | 1 0.21 71.00 430335 | 1 0.21 71.22 430336 | 1 0.21 71.43 430337 | 1 0.21 71.64 430338 | 1 0.21 71.86 430339 | 1 0.21 72.07 430340 | 1 0.21 72.28 430341 | 1 0.21 72.49 430342 | 1 0.21 72.71 430343 | 1 0.21 72.92 430344 | 1 0.21 73.13 430345 | 1 0.21 73.35 430346 | 1 0.21 73.56 430347 | 1 0.21 73.77 430348 | 1 0.21 73.99 430349 | 1 0.21 74.20 430350 | 1 0.21 74.41 430351 | 1 0.21 74.63 430352 | 1 0.21 74.84 430353 | 1 0.21 75.05 430354 | 1 0.21 75.27 430355 | 1 0.21 75.48 430356 | 1 0.21 75.69 430357 | 1 0.21 75.91 430358 | 1 0.21 76.12 430359 | 1 0.21 76.33 430360 | 1 0.21 76.55 430361 | 1 0.21 76.76 430362 | 1 0.21 76.97 430363 | 1 0.21 77.19 430364 | 1 0.21 77.40 430365 | 1 0.21 77.61 430366 | 1 0.21 77.83 430367 | 1 0.21 78.04 430368 | 1 0.21 78.25 430369 | 1 0.21 78.46 430370 | 1 0.21 78.68 430371 | 1 0.21 78.89 430372 | 1 0.21 79.10 430373 | 1 0.21 79.32 430374 | 1 0.21 79.53 430375 | 1 0.21 79.74 430376 | 1 0.21 79.96 430377 | 1 0.21 80.17 430378 | 1 0.21 80.38 430379 | 1 0.21 80.60 430380 | 1 0.21 80.81 430381 | 1 0.21 81.02 430382 | 1 0.21 81.24 430383 | 1 0.21 81.45 430384 | 1 0.21 81.66 430385 | 1 0.21 81.88 430386 | 1 0.21 82.09 430387 | 1 0.21 82.30 430388 | 1 0.21 82.52 430389 | 1 0.21 82.73 430390 | 1 0.21 82.94 430391 | 1 0.21 83.16 430392 | 1 0.21 83.37 430393 | 1 0.21 83.58 430394 | 1 0.21 83.80 430395 | 1 0.21 84.01 430396 | 1 0.21 84.22 430397 | 1 0.21 84.43 430398 | 1 0.21 84.65 430399 | 1 0.21 84.86 430400 | 1 0.21 85.07 430401 | 1 0.21 85.29 430402 | 1 0.21 85.50 430403 | 1 0.21 85.71 430404 | 1 0.21 85.93 430405 | 1 0.21 86.14 430406 | 1 0.21 86.35 430407 | 1 0.21 86.57 430408 | 1 0.21 86.78 430409 | 1 0.21 86.99 430410 | 1 0.21 87.21 430411 | 1 0.21 87.42 430412 | 1 0.21 87.63 430413 | 1 0.21 87.85 430414 | 1 0.21 88.06 430415 | 1 0.21 88.27 430416 | 1 0.21 88.49 430417 | 1 0.21 88.70 430418 | 1 0.21 88.91 430419 | 1 0.21 89.13 430420 | 1 0.21 89.34 430421 | 1 0.21 89.55 430422 | 1 0.21 89.77 430423 | 1 0.21 89.98 430424 | 1 0.21 90.19 430425 | 1 0.21 90.41 430426 | 1 0.21 90.62 430427 | 1 0.21 90.83 430428 | 1 0.21 91.04 430429 | 1 0.21 91.26 430430 | 1 0.21 91.47 430431 | 1 0.21 91.68 430432 | 1 0.21 91.90 430433 | 1 0.21 92.11 430434 | 1 0.21 92.32 430435 | 1 0.21 92.54 430436 | 1 0.21 92.75 430437 | 1 0.21 92.96 430438 | 1 0.21 93.18 430439 | 1 0.21 93.39 430440 | 1 0.21 93.60 430441 | 1 0.21 93.82 430442 | 1 0.21 94.03 430443 | 1 0.21 94.24 430444 | 1 0.21 94.46 430445 | 1 0.21 94.67 430446 | 1 0.21 94.88 430447 | 1 0.21 95.10 430448 | 1 0.21 95.31 430449 | 1 0.21 95.52 430450 | 1 0.21 95.74 430451 | 1 0.21 95.95 430452 | 1 0.21 96.16 430453 | 1 0.21 96.38 430454 | 1 0.21 96.59 430455 | 1 0.21 96.80 430456 | 1 0.21 97.01 430457 | 1 0.21 97.23 430458 | 1 0.21 97.44 430459 | 1 0.21 97.65 430460 | 1 0.21 97.87 430461 | 1 0.21 98.08 430462 | 1 0.21 98.29 430463 | 1 0.21 98.51 430464 | 1 0.21 98.72 430465 | 1 0.21 98.93 430466 | 1 0.21 99.15 430467 | 1 0.21 99.36 430468 | 1 0.21 99.57 430469 | 1 0.21 99.79 430470 | 1 0.21 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 469 100.00 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 469 100.00 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 185 39.45 39.45 2 | 284 60.55 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 1 | 89 18.98 18.98 2 | 380 81.02 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 297 63.33 63.33 2 | 19 4.05 67.38 3 | 12 2.56 69.94 4 | 141 30.06 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 22 4.69 4.69 2 | 447 95.31 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 1 | 89 18.98 18.98 2 | 8 1.71 20.68 3 | 89 18.98 39.66 4 | 82 17.48 57.14 5 | 133 28.36 85.50 6 | 68 14.50 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 22 4.69 4.69 2 | 447 95.31 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 336 71.64 71.64 2 | 20 4.26 75.91 3 | 43 9.17 85.07 4 | 57 12.15 97.23 5 | 13 2.77 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 3 | 469 100.00 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 153 32.62 32.62 2 | 316 67.38 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 231 49.25 49.25 2 | 238 50.75 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 36 7.68 7.68 2 | 433 92.32 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 324 69.08 69.08 2 | 127 27.08 96.16 3 | 18 3.84 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 1 | 29 6.18 6.18 2 | 440 93.82 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 48 10.23 10.23 2 | 421 89.77 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 221 47.12 47.12 2 | 248 52.88 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 170 36.25 36.25 2 | 299 63.75 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 17 3.62 3.62 2 | 452 96.38 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 33 7.04 7.04 2 | 436 92.96 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 2 | 469 100.00 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 127 27.08 27.08 2 | 161 34.33 61.41 3 | 181 38.59 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 46 9.81 9.81 2 | 423 90.19 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 46 9.81 9.81 2 | 423 90.19 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 75 15.99 15.99 2 | 394 84.01 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 75 15.99 15.99 2 | 394 84.01 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 34 7.25 7.25 2 | 435 92.75 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 97 20.68 20.68 2 | 372 79.32 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 157 33.48 33.48 2 | 312 66.52 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 2 | 469 100.00 100.00 ------------+----------------------------------- Total | 469 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 3 0.64 0.64 2 | 466 99.36 100.00 ------------+----------------------------------- Total | 469 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016