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. ------------+----------------------------------- 2004 | 465 100.00 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for state variable in acc_aux dataset : state | Freq. Percent Cum. ------------+----------------------------------- 43 | 465 100.00 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for county variable in acc_aux dataset : county | Freq. Percent Cum. ------------+----------------------------------- 72 | 465 100.00 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for fatals variable in acc_aux dataset : fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 442 95.05 95.05 2 | 17 3.66 98.71 3 | 5 1.08 99.78 4 | 1 0.22 100.00 ------------+----------------------------------- Total | 465 100.00 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 430003 | 1 0.22 0.65 430004 | 1 0.22 0.86 430005 | 1 0.22 1.08 430006 | 1 0.22 1.29 430007 | 1 0.22 1.51 430008 | 1 0.22 1.72 430009 | 1 0.22 1.94 430010 | 1 0.22 2.15 430011 | 1 0.22 2.37 430012 | 1 0.22 2.58 430013 | 1 0.22 2.80 430014 | 1 0.22 3.01 430015 | 1 0.22 3.23 430016 | 1 0.22 3.44 430017 | 1 0.22 3.66 430018 | 1 0.22 3.87 430019 | 1 0.22 4.09 430020 | 1 0.22 4.30 430021 | 1 0.22 4.52 430022 | 1 0.22 4.73 430023 | 1 0.22 4.95 430024 | 1 0.22 5.16 430025 | 1 0.22 5.38 430026 | 1 0.22 5.59 430027 | 1 0.22 5.81 430028 | 1 0.22 6.02 430029 | 1 0.22 6.24 430030 | 1 0.22 6.45 430031 | 1 0.22 6.67 430032 | 1 0.22 6.88 430033 | 1 0.22 7.10 430034 | 1 0.22 7.31 430035 | 1 0.22 7.53 430036 | 1 0.22 7.74 430037 | 1 0.22 7.96 430038 | 1 0.22 8.17 430039 | 1 0.22 8.39 430040 | 1 0.22 8.60 430041 | 1 0.22 8.82 430042 | 1 0.22 9.03 430043 | 1 0.22 9.25 430044 | 1 0.22 9.46 430045 | 1 0.22 9.68 430046 | 1 0.22 9.89 430047 | 1 0.22 10.11 430048 | 1 0.22 10.32 430049 | 1 0.22 10.54 430050 | 1 0.22 10.75 430051 | 1 0.22 10.97 430052 | 1 0.22 11.18 430053 | 1 0.22 11.40 430054 | 1 0.22 11.61 430055 | 1 0.22 11.83 430056 | 1 0.22 12.04 430057 | 1 0.22 12.26 430058 | 1 0.22 12.47 430059 | 1 0.22 12.69 430060 | 1 0.22 12.90 430061 | 1 0.22 13.12 430062 | 1 0.22 13.33 430063 | 1 0.22 13.55 430064 | 1 0.22 13.76 430065 | 1 0.22 13.98 430066 | 1 0.22 14.19 430067 | 1 0.22 14.41 430068 | 1 0.22 14.62 430069 | 1 0.22 14.84 430070 | 1 0.22 15.05 430071 | 1 0.22 15.27 430072 | 1 0.22 15.48 430074 | 1 0.22 15.70 430075 | 1 0.22 15.91 430076 | 1 0.22 16.13 430077 | 1 0.22 16.34 430078 | 1 0.22 16.56 430079 | 1 0.22 16.77 430080 | 1 0.22 16.99 430081 | 1 0.22 17.20 430082 | 1 0.22 17.42 430083 | 1 0.22 17.63 430084 | 1 0.22 17.85 430085 | 1 0.22 18.06 430086 | 1 0.22 18.28 430087 | 1 0.22 18.49 430088 | 1 0.22 18.71 430089 | 1 0.22 18.92 430090 | 1 0.22 19.14 430091 | 1 0.22 19.35 430092 | 1 0.22 19.57 430093 | 1 0.22 19.78 430094 | 1 0.22 20.00 430095 | 1 0.22 20.22 430096 | 1 0.22 20.43 430097 | 1 0.22 20.65 430098 | 1 0.22 20.86 430099 | 1 0.22 21.08 430100 | 1 0.22 21.29 430101 | 1 0.22 21.51 430102 | 1 0.22 21.72 430103 | 1 0.22 21.94 430104 | 1 0.22 22.15 430105 | 1 0.22 22.37 430106 | 1 0.22 22.58 430107 | 1 0.22 22.80 430108 | 1 0.22 23.01 430110 | 1 0.22 23.23 430111 | 1 0.22 23.44 430112 | 1 0.22 23.66 430113 | 1 0.22 23.87 430114 | 1 0.22 24.09 430115 | 1 0.22 24.30 430116 | 1 0.22 24.52 430117 | 1 0.22 24.73 430118 | 1 0.22 24.95 430119 | 1 0.22 25.16 430120 | 1 0.22 25.38 430121 | 1 0.22 25.59 430122 | 1 0.22 25.81 430123 | 1 0.22 26.02 430124 | 1 0.22 26.24 430125 | 1 0.22 26.45 430126 | 1 0.22 26.67 430127 | 1 0.22 26.88 430128 | 1 0.22 27.10 430129 | 1 0.22 27.31 430130 | 1 0.22 27.53 430131 | 1 0.22 27.74 430132 | 1 0.22 27.96 430133 | 1 0.22 28.17 430134 | 1 0.22 28.39 430135 | 1 0.22 28.60 430136 | 1 0.22 28.82 430137 | 1 0.22 29.03 430138 | 1 0.22 29.25 430139 | 1 0.22 29.46 430140 | 1 0.22 29.68 430141 | 1 0.22 29.89 430142 | 1 0.22 30.11 430144 | 1 0.22 30.32 430145 | 1 0.22 30.54 430146 | 1 0.22 30.75 430147 | 1 0.22 30.97 430148 | 1 0.22 31.18 430149 | 1 0.22 31.40 430150 | 1 0.22 31.61 430151 | 1 0.22 31.83 430152 | 1 0.22 32.04 430153 | 1 0.22 32.26 430154 | 1 0.22 32.47 430155 | 1 0.22 32.69 430156 | 1 0.22 32.90 430157 | 1 0.22 33.12 430158 | 1 0.22 33.33 430159 | 1 0.22 33.55 430160 | 1 0.22 33.76 430162 | 1 0.22 33.98 430163 | 1 0.22 34.19 430164 | 1 0.22 34.41 430165 | 1 0.22 34.62 430166 | 1 0.22 34.84 430167 | 1 0.22 35.05 430168 | 1 0.22 35.27 430169 | 1 0.22 35.48 430170 | 1 0.22 35.70 430171 | 1 0.22 35.91 430172 | 1 0.22 36.13 430173 | 1 0.22 36.34 430174 | 1 0.22 36.56 430175 | 1 0.22 36.77 430176 | 1 0.22 36.99 430177 | 1 0.22 37.20 430178 | 1 0.22 37.42 430179 | 1 0.22 37.63 430180 | 1 0.22 37.85 430181 | 1 0.22 38.06 430182 | 1 0.22 38.28 430183 | 1 0.22 38.49 430184 | 1 0.22 38.71 430185 | 1 0.22 38.92 430186 | 1 0.22 39.14 430187 | 1 0.22 39.35 430188 | 1 0.22 39.57 430189 | 1 0.22 39.78 430190 | 1 0.22 40.00 430191 | 1 0.22 40.22 430192 | 1 0.22 40.43 430193 | 1 0.22 40.65 430194 | 1 0.22 40.86 430195 | 1 0.22 41.08 430196 | 1 0.22 41.29 430197 | 1 0.22 41.51 430198 | 1 0.22 41.72 430199 | 1 0.22 41.94 430200 | 1 0.22 42.15 430201 | 1 0.22 42.37 430202 | 1 0.22 42.58 430203 | 1 0.22 42.80 430204 | 1 0.22 43.01 430205 | 1 0.22 43.23 430206 | 1 0.22 43.44 430207 | 1 0.22 43.66 430208 | 1 0.22 43.87 430209 | 1 0.22 44.09 430210 | 1 0.22 44.30 430211 | 1 0.22 44.52 430212 | 1 0.22 44.73 430213 | 1 0.22 44.95 430214 | 1 0.22 45.16 430215 | 1 0.22 45.38 430216 | 1 0.22 45.59 430217 | 1 0.22 45.81 430218 | 1 0.22 46.02 430219 | 1 0.22 46.24 430220 | 1 0.22 46.45 430221 | 1 0.22 46.67 430222 | 1 0.22 46.88 430223 | 1 0.22 47.10 430224 | 1 0.22 47.31 430225 | 1 0.22 47.53 430226 | 1 0.22 47.74 430227 | 1 0.22 47.96 430228 | 1 0.22 48.17 430229 | 1 0.22 48.39 430230 | 1 0.22 48.60 430231 | 1 0.22 48.82 430232 | 1 0.22 49.03 430233 | 1 0.22 49.25 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 50.75 430241 | 1 0.22 50.97 430242 | 1 0.22 51.18 430243 | 1 0.22 51.40 430244 | 1 0.22 51.61 430245 | 1 0.22 51.83 430246 | 1 0.22 52.04 430247 | 1 0.22 52.26 430248 | 1 0.22 52.47 430249 | 1 0.22 52.69 430250 | 1 0.22 52.90 430251 | 1 0.22 53.12 430252 | 1 0.22 53.33 430253 | 1 0.22 53.55 430254 | 1 0.22 53.76 430255 | 1 0.22 53.98 430256 | 1 0.22 54.19 430257 | 1 0.22 54.41 430258 | 1 0.22 54.62 430259 | 1 0.22 54.84 430260 | 1 0.22 55.05 430261 | 1 0.22 55.27 430262 | 1 0.22 55.48 430263 | 1 0.22 55.70 430264 | 1 0.22 55.91 430265 | 1 0.22 56.13 430266 | 1 0.22 56.34 430267 | 1 0.22 56.56 430268 | 1 0.22 56.77 430269 | 1 0.22 56.99 430270 | 1 0.22 57.20 430271 | 1 0.22 57.42 430272 | 1 0.22 57.63 430273 | 1 0.22 57.85 430274 | 1 0.22 58.06 430275 | 1 0.22 58.28 430276 | 1 0.22 58.49 430277 | 1 0.22 58.71 430278 | 1 0.22 58.92 430279 | 1 0.22 59.14 430280 | 1 0.22 59.35 430281 | 1 0.22 59.57 430282 | 1 0.22 59.78 430283 | 1 0.22 60.00 430284 | 1 0.22 60.22 430285 | 1 0.22 60.43 430286 | 1 0.22 60.65 430287 | 1 0.22 60.86 430288 | 1 0.22 61.08 430289 | 1 0.22 61.29 430290 | 1 0.22 61.51 430291 | 1 0.22 61.72 430292 | 1 0.22 61.94 430293 | 1 0.22 62.15 430294 | 1 0.22 62.37 430295 | 1 0.22 62.58 430296 | 1 0.22 62.80 430297 | 1 0.22 63.01 430298 | 1 0.22 63.23 430299 | 1 0.22 63.44 430300 | 1 0.22 63.66 430301 | 1 0.22 63.87 430302 | 1 0.22 64.09 430303 | 1 0.22 64.30 430304 | 1 0.22 64.52 430305 | 1 0.22 64.73 430306 | 1 0.22 64.95 430307 | 1 0.22 65.16 430308 | 1 0.22 65.38 430309 | 1 0.22 65.59 430310 | 1 0.22 65.81 430311 | 1 0.22 66.02 430312 | 1 0.22 66.24 430313 | 1 0.22 66.45 430314 | 1 0.22 66.67 430315 | 1 0.22 66.88 430316 | 1 0.22 67.10 430317 | 1 0.22 67.31 430318 | 1 0.22 67.53 430319 | 1 0.22 67.74 430320 | 1 0.22 67.96 430321 | 1 0.22 68.17 430322 | 1 0.22 68.39 430323 | 1 0.22 68.60 430324 | 1 0.22 68.82 430325 | 1 0.22 69.03 430326 | 1 0.22 69.25 430327 | 1 0.22 69.46 430328 | 1 0.22 69.68 430329 | 1 0.22 69.89 430330 | 1 0.22 70.11 430331 | 1 0.22 70.32 430332 | 1 0.22 70.54 430333 | 1 0.22 70.75 430334 | 1 0.22 70.97 430335 | 1 0.22 71.18 430336 | 1 0.22 71.40 430337 | 1 0.22 71.61 430338 | 1 0.22 71.83 430339 | 1 0.22 72.04 430340 | 1 0.22 72.26 430341 | 1 0.22 72.47 430342 | 1 0.22 72.69 430343 | 1 0.22 72.90 430344 | 1 0.22 73.12 430345 | 1 0.22 73.33 430346 | 1 0.22 73.55 430347 | 1 0.22 73.76 430348 | 1 0.22 73.98 430349 | 1 0.22 74.19 430350 | 1 0.22 74.41 430351 | 1 0.22 74.62 430352 | 1 0.22 74.84 430353 | 1 0.22 75.05 430354 | 1 0.22 75.27 430355 | 1 0.22 75.48 430356 | 1 0.22 75.70 430357 | 1 0.22 75.91 430358 | 1 0.22 76.13 430359 | 1 0.22 76.34 430360 | 1 0.22 76.56 430361 | 1 0.22 76.77 430362 | 1 0.22 76.99 430363 | 1 0.22 77.20 430364 | 1 0.22 77.42 430365 | 1 0.22 77.63 430366 | 1 0.22 77.85 430367 | 1 0.22 78.06 430368 | 1 0.22 78.28 430369 | 1 0.22 78.49 430370 | 1 0.22 78.71 430371 | 1 0.22 78.92 430372 | 1 0.22 79.14 430373 | 1 0.22 79.35 430374 | 1 0.22 79.57 430375 | 1 0.22 79.78 430376 | 1 0.22 80.00 430377 | 1 0.22 80.22 430378 | 1 0.22 80.43 430379 | 1 0.22 80.65 430380 | 1 0.22 80.86 430381 | 1 0.22 81.08 430382 | 1 0.22 81.29 430383 | 1 0.22 81.51 430384 | 1 0.22 81.72 430385 | 1 0.22 81.94 430386 | 1 0.22 82.15 430387 | 1 0.22 82.37 430388 | 1 0.22 82.58 430389 | 1 0.22 82.80 430390 | 1 0.22 83.01 430391 | 1 0.22 83.23 430392 | 1 0.22 83.44 430393 | 1 0.22 83.66 430394 | 1 0.22 83.87 430395 | 1 0.22 84.09 430396 | 1 0.22 84.30 430397 | 1 0.22 84.52 430398 | 1 0.22 84.73 430399 | 1 0.22 84.95 430400 | 1 0.22 85.16 430401 | 1 0.22 85.38 430402 | 1 0.22 85.59 430403 | 1 0.22 85.81 430404 | 1 0.22 86.02 430405 | 1 0.22 86.24 430406 | 1 0.22 86.45 430407 | 1 0.22 86.67 430408 | 1 0.22 86.88 430409 | 1 0.22 87.10 430410 | 1 0.22 87.31 430411 | 1 0.22 87.53 430412 | 1 0.22 87.74 430413 | 1 0.22 87.96 430414 | 1 0.22 88.17 430415 | 1 0.22 88.39 430416 | 1 0.22 88.60 430417 | 1 0.22 88.82 430418 | 1 0.22 89.03 430419 | 1 0.22 89.25 430420 | 1 0.22 89.46 430421 | 1 0.22 89.68 430422 | 1 0.22 89.89 430423 | 1 0.22 90.11 430424 | 1 0.22 90.32 430425 | 1 0.22 90.54 430426 | 1 0.22 90.75 430427 | 1 0.22 90.97 430428 | 1 0.22 91.18 430429 | 1 0.22 91.40 430430 | 1 0.22 91.61 430431 | 1 0.22 91.83 430432 | 1 0.22 92.04 430433 | 1 0.22 92.26 430434 | 1 0.22 92.47 430435 | 1 0.22 92.69 430436 | 1 0.22 92.90 430437 | 1 0.22 93.12 430438 | 1 0.22 93.33 430439 | 1 0.22 93.55 430440 | 1 0.22 93.76 430441 | 1 0.22 93.98 430442 | 1 0.22 94.19 430443 | 1 0.22 94.41 430444 | 1 0.22 94.62 430445 | 1 0.22 94.84 430446 | 1 0.22 95.05 430447 | 1 0.22 95.27 430448 | 1 0.22 95.48 430449 | 1 0.22 95.70 430450 | 1 0.22 95.91 430451 | 1 0.22 96.13 430452 | 1 0.22 96.34 430453 | 1 0.22 96.56 430454 | 1 0.22 96.77 430455 | 1 0.22 96.99 430456 | 1 0.22 97.20 430457 | 1 0.22 97.42 430458 | 1 0.22 97.63 430459 | 1 0.22 97.85 430460 | 1 0.22 98.06 430461 | 1 0.22 98.28 430462 | 1 0.22 98.49 430463 | 1 0.22 98.71 430464 | 1 0.22 98.92 430465 | 1 0.22 99.14 430466 | 1 0.22 99.35 430468 | 1 0.22 99.57 430469 | 1 0.22 99.78 430470 | 1 0.22 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 465 100.00 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 465 100.00 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 213 45.81 45.81 2 | 252 54.19 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 1 | 79 16.99 16.99 2 | 386 83.01 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 298 64.09 64.09 2 | 15 3.23 67.31 3 | 13 2.80 70.11 4 | 139 29.89 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 9 1.94 1.94 2 | 456 98.06 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 1 | 79 16.99 16.99 2 | 12 2.58 19.57 3 | 77 16.56 36.13 4 | 105 22.58 58.71 5 | 132 28.39 87.10 6 | 60 12.90 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 9 1.94 1.94 2 | 456 98.06 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 331 71.18 71.18 2 | 19 4.09 75.27 3 | 39 8.39 83.66 4 | 45 9.68 93.33 5 | 31 6.67 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 154 33.12 33.12 2 | 311 66.88 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 208 44.73 44.73 2 | 257 55.27 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 57 12.26 12.26 2 | 408 87.74 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 323 69.46 69.46 2 | 126 27.10 96.56 3 | 16 3.44 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 1 | 24 5.16 5.16 2 | 441 94.84 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 65 13.98 13.98 2 | 400 86.02 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 218 46.88 46.88 2 | 247 53.12 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 162 34.84 34.84 2 | 303 65.16 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 17 3.66 3.66 2 | 448 96.34 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 32 6.88 6.88 2 | 433 93.12 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 2 | 465 100.00 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 128 27.53 27.53 2 | 157 33.76 61.29 3 | 180 38.71 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 61 13.12 13.12 2 | 404 86.88 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 60 12.90 12.90 2 | 405 87.10 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 89 19.14 19.14 2 | 376 80.86 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 88 18.92 18.92 2 | 377 81.08 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 32 6.88 6.88 2 | 433 93.12 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 93 20.00 20.00 2 | 372 80.00 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 175 37.63 37.63 2 | 290 62.37 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 1 | 121 26.02 26.02 2 | 344 73.98 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 2 | 465 100.00 100.00 ------------+----------------------------------- Total | 465 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 1 0.22 0.22 2 | 464 99.78 100.00 ------------+----------------------------------- Total | 465 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016