Frequencies for accident dataset : by Jean Roth , jroth@nber.org , 22 Apr 2016 Frequencies for state variable in accident dataset : State | Freq. Percent Cum. ------------+----------------------------------- 43 | 491 100.00 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for county variable in accident dataset : County | Freq. Percent Cum. ------------+----------------------------------- 72 | 491 100.00 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for month variable in accident dataset : Accident | Date-Month | Freq. Percent Cum. ------------+----------------------------------- 1 | 36 7.33 7.33 2 | 38 7.74 15.07 3 | 38 7.74 22.81 4 | 39 7.94 30.75 5 | 42 8.55 39.31 6 | 29 5.91 45.21 7 | 48 9.78 54.99 8 | 44 8.96 63.95 9 | 36 7.33 71.28 10 | 44 8.96 80.24 11 | 54 11.00 91.24 12 | 43 8.76 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for day variable in accident dataset : Accident | Date-Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 14 2.85 2.85 2 | 19 3.87 6.72 3 | 17 3.46 10.18 4 | 21 4.28 14.46 5 | 19 3.87 18.33 6 | 16 3.26 21.59 7 | 11 2.24 23.83 8 | 19 3.87 27.70 9 | 13 2.65 30.35 10 | 12 2.44 32.79 11 | 19 3.87 36.66 12 | 19 3.87 40.53 13 | 14 2.85 43.38 14 | 18 3.67 47.05 15 | 12 2.44 49.49 16 | 17 3.46 52.95 17 | 17 3.46 56.42 18 | 13 2.65 59.06 19 | 16 3.26 62.32 20 | 12 2.44 64.77 21 | 17 3.46 68.23 22 | 9 1.83 70.06 23 | 18 3.67 73.73 24 | 19 3.87 77.60 25 | 21 4.28 81.87 26 | 16 3.26 85.13 27 | 17 3.46 88.59 28 | 15 3.05 91.65 29 | 16 3.26 94.91 30 | 13 2.65 97.56 31 | 12 2.44 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for year variable in accident dataset : Accident | Date-Year | Freq. Percent Cum. ------------+----------------------------------- 80 | 491 100.00 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for hour variable in accident dataset : Time of | Accident-Ho | ur | Freq. Percent Cum. ------------+----------------------------------- 0 | 13 2.65 2.65 1 | 23 4.68 7.33 2 | 19 3.87 11.20 3 | 13 2.65 13.85 4 | 5 1.02 14.87 5 | 11 2.24 17.11 6 | 11 2.24 19.35 7 | 18 3.67 23.01 8 | 7 1.43 24.44 9 | 15 3.05 27.49 10 | 7 1.43 28.92 11 | 15 3.05 31.98 12 | 12 2.44 34.42 13 | 8 1.63 36.05 14 | 21 4.28 40.33 15 | 19 3.87 44.20 16 | 25 5.09 49.29 17 | 26 5.30 54.58 18 | 40 8.15 62.73 19 | 45 9.16 71.89 20 | 44 8.96 80.86 21 | 26 5.30 86.15 22 | 40 8.15 94.30 23 | 26 5.30 99.59 24 | 2 0.41 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for minute variable in accident dataset : Time of | Accident-Mi | nute | Freq. Percent Cum. ------------+----------------------------------- 0 | 111 22.61 22.61 5 | 12 2.44 25.05 6 | 1 0.20 25.25 10 | 28 5.70 30.96 15 | 59 12.02 42.97 20 | 25 5.09 48.07 25 | 8 1.63 49.69 30 | 133 27.09 76.78 35 | 9 1.83 78.62 40 | 18 3.67 82.28 44 | 1 0.20 82.48 45 | 60 12.22 94.70 50 | 21 4.28 98.98 55 | 5 1.02 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for ve_forms variable in accident dataset : Vehicle | Forms | Submitted | Freq. Percent Cum. ------------+----------------------------------- 0 | 39 7.94 7.94 1 | 308 62.73 70.67 2 | 124 25.25 95.93 3 | 16 3.26 99.19 4 | 3 0.61 99.80 6 | 1 0.20 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for persons variable in accident dataset : Person | Forms | Submitted | Freq. Percent Cum. ------------+----------------------------------- 1 | 93 18.94 18.94 2 | 240 48.88 67.82 3 | 63 12.83 80.65 4 | 44 8.96 89.61 5 | 24 4.89 94.50 6 | 12 2.44 96.95 7 | 4 0.81 97.76 8 | 6 1.22 98.98 9 | 3 0.61 99.59 10 | 1 0.20 99.80 11 | 1 0.20 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for vehicles variable in accident dataset : Vehicles | Involved in | Accident | Freq. Percent Cum. ------------+----------------------------------- 1 | 345 70.26 70.26 2 | 124 25.25 95.52 3 | 18 3.67 99.19 4 | 3 0.61 99.80 6 | 1 0.20 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for land_use variable in accident dataset : Land Use | Freq. Percent Cum. ------------+----------------------------------- 1 | 297 60.49 60.49 2 | 194 39.51 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for cl_tway variable in accident dataset : Class | Trafficway | Freq. Percent Cum. ------------+----------------------------------- 2 | 1 0.20 0.20 4 | 331 67.41 67.62 5 | 4 0.81 68.43 6 | 80 16.29 84.73 7 | 74 15.07 99.80 8 | 1 0.20 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for road_fnc variable in accident dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- . | 491 100.00 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for ta_1_cl variable in accident dataset : TA-1 Class | Freq. Percent Cum. ------------+----------------------------------- 2 | 183 37.27 37.27 3 | 50 10.18 47.45 4 | 65 13.24 60.69 5 | 3 0.61 61.30 6 | 13 2.65 63.95 7 | 33 6.72 70.67 8 | 144 29.33 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for sp_jur variable in accident dataset : Special | Jurisdictio | n | Freq. Percent Cum. ------------+----------------------------------- 0 | 490 99.80 99.80 2 | 1 0.20 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for harm_ev variable in accident dataset : First | Harmful | Event | Freq. Percent Cum. ------------+----------------------------------- 1 | 15 3.05 3.05 3 | 2 0.41 3.46 5 | 10 2.04 5.50 7 | 1 0.20 5.70 8 | 196 39.92 45.62 9 | 20 4.07 49.69 11 | 3 0.61 50.31 12 | 133 27.09 77.39 13 | 2 0.41 77.80 14 | 12 2.44 80.24 16 | 1 0.20 80.45 18 | 2 0.41 80.86 19 | 3 0.61 81.47 20 | 12 2.44 83.91 21 | 7 1.43 85.34 22 | 28 5.70 91.04 23 | 3 0.61 91.65 24 | 6 1.22 92.87 25 | 2 0.41 93.28 26 | 1 0.20 93.48 27 | 22 4.48 97.96 28 | 9 1.83 99.80 33 | 1 0.20 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for man_coll variable in accident dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 0 | 356 72.51 72.51 1 | 26 5.30 77.80 2 | 60 12.22 90.02 4 | 45 9.16 99.19 5 | 3 0.61 99.80 6 | 1 0.20 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for rel_junc variable in accident dataset : Relation to | Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 393 80.04 80.04 2 | 76 15.48 95.52 3 | 19 3.87 99.39 5 | 3 0.61 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for rel_road variable in accident dataset : Relation to | Roadway | Freq. Percent Cum. ------------+----------------------------------- 1 | 366 74.54 74.54 2 | 22 4.48 79.02 3 | 8 1.63 80.65 4 | 37 7.54 88.19 5 | 56 11.41 99.59 9 | 2 0.41 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for road_flo variable in accident dataset : Roadway | Flow | Freq. Percent Cum. ------------+----------------------------------- 1 | 55 11.20 11.20 2 | 3 0.61 11.81 3 | 12 2.44 14.26 4 | 419 85.34 99.59 5 | 2 0.41 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for no_lanes variable in accident dataset : Number of | Travel | Lanes | Freq. Percent Cum. ------------+----------------------------------- 1 | 7 1.43 1.43 2 | 398 81.06 82.48 3 | 46 9.37 91.85 4 | 35 7.13 98.98 5 | 1 0.20 99.19 6 | 4 0.81 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for sp_limit variable in accident dataset : Speed Limit | Freq. Percent Cum. ------------+----------------------------------- 20 | 7 1.43 1.43 25 | 72 14.66 16.09 30 | 61 12.42 28.51 35 | 117 23.83 52.34 40 | 106 21.59 73.93 45 | 90 18.33 92.26 50 | 7 1.43 93.69 55 | 31 6.31 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for alignmnt variable in accident dataset : Roadway | Alignment | Freq. Percent Cum. ------------+----------------------------------- 1 | 412 83.91 83.91 2 | 79 16.09 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for profile variable in accident dataset : Roadway | Profile | Freq. Percent Cum. ------------+----------------------------------- 1 | 432 87.98 87.98 2 | 59 12.02 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for pave_typ variable in accident dataset : Roadway | Surface | Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 77 15.68 15.68 2 | 414 84.32 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for sur_cond variable in accident dataset : Roadway | Surface | Condition | Freq. Percent Cum. ------------+----------------------------------- 1 | 440 89.61 89.61 2 | 51 10.39 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for tra_cont variable in accident dataset : Traffic | Controls | Freq. Percent Cum. ------------+----------------------------------- 0 | 379 77.19 77.19 1 | 1 0.20 77.39 2 | 37 7.54 84.93 3 | 13 2.65 87.58 8 | 4 0.81 88.39 98 | 57 11.61 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for lgt_cond variable in accident dataset : Light | Condition | Freq. Percent Cum. ------------+----------------------------------- 1 | 180 36.66 36.66 2 | 158 32.18 68.84 3 | 113 23.01 91.85 4 | 15 3.05 94.91 5 | 25 5.09 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for weather variable in accident dataset : Atmospheric | Condition | Freq. Percent Cum. ------------+----------------------------------- 1 | 466 94.91 94.91 2 | 25 5.09 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for hit_run variable in accident dataset : Hit-and-Run | Freq. Percent Cum. ------------+----------------------------------- 0 | 434 88.39 88.39 1 | 3 0.61 89.00 2 | 53 10.79 99.80 3 | 1 0.20 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for c_m_zone variable in accident dataset : Constructio | n/Maintenan | ce Zone | Freq. Percent Cum. ------------+----------------------------------- 0 | 489 99.59 99.59 1 | 2 0.41 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for not_hour variable in accident dataset : Notificatio | n Time | EMS-Hour | Freq. Percent Cum. ------------+----------------------------------- 0 | 362 73.73 73.73 99 | 129 26.27 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for not_min variable in accident dataset : Notificatio | n Time | EMS-Minute | Freq. Percent Cum. ------------+----------------------------------- 0 | 362 73.73 73.73 99 | 129 26.27 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for arr_hour variable in accident dataset : Arrival | Time | EMS-Hour | Freq. Percent Cum. ------------+----------------------------------- 0 | 362 73.73 73.73 99 | 129 26.27 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for arr_min variable in accident dataset : Arrival | Time | EMS-Minute | Freq. Percent Cum. ------------+----------------------------------- 0 | 362 73.73 73.73 99 | 129 26.27 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for sch_bus variable in accident dataset : School Bus | Related | Freq. Percent Cum. ------------+----------------------------------- 0 | 491 100.00 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for cf1 variable in accident dataset : Accident | Related | Factor 1 | Freq. Percent Cum. ------------+----------------------------------- 0 | 482 98.17 98.17 2 | 1 0.20 98.37 22 | 5 1.02 99.39 23 | 1 0.20 99.59 24 | 1 0.20 99.80 26 | 1 0.20 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for cf2 variable in accident dataset : Accident | Related | Factor 2 | Freq. Percent Cum. ------------+----------------------------------- 0 | 490 99.80 99.80 41 | 1 0.20 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for cf3 variable in accident dataset : Accident | Related | Factor 3 | Freq. Percent Cum. ------------+----------------------------------- 0 | 490 99.80 99.80 44 | 1 0.20 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for fatals variable in accident dataset : Accident | Fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 468 95.32 95.32 2 | 19 3.87 99.19 3 | 3 0.61 99.80 5 | 1 0.20 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for day_week variable in accident dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 96 19.55 19.55 2 | 55 11.20 30.75 3 | 46 9.37 40.12 4 | 55 11.20 51.32 5 | 60 12.22 63.54 6 | 98 19.96 83.50 7 | 81 16.50 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for drunk_dr variable in accident dataset : Drinking | Drivers | Freq. Percent Cum. ------------+----------------------------------- 0 | 377 76.78 76.78 1 | 111 22.61 99.39 2 | 3 0.61 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for st_case variable in accident dataset : State/Case | Number | Freq. Percent Cum. ------------+----------------------------------- 430001 | 1 0.20 0.20 430002 | 1 0.20 0.41 430003 | 1 0.20 0.61 430004 | 1 0.20 0.81 430005 | 1 0.20 1.02 430006 | 1 0.20 1.22 430007 | 1 0.20 1.43 430008 | 1 0.20 1.63 430009 | 1 0.20 1.83 430010 | 1 0.20 2.04 430011 | 1 0.20 2.24 430012 | 1 0.20 2.44 430013 | 1 0.20 2.65 430014 | 1 0.20 2.85 430015 | 1 0.20 3.05 430016 | 1 0.20 3.26 430017 | 1 0.20 3.46 430018 | 1 0.20 3.67 430019 | 1 0.20 3.87 430020 | 1 0.20 4.07 430021 | 1 0.20 4.28 430022 | 1 0.20 4.48 430023 | 1 0.20 4.68 430024 | 1 0.20 4.89 430025 | 1 0.20 5.09 430026 | 1 0.20 5.30 430027 | 1 0.20 5.50 430028 | 1 0.20 5.70 430029 | 1 0.20 5.91 430030 | 1 0.20 6.11 430031 | 1 0.20 6.31 430032 | 1 0.20 6.52 430033 | 1 0.20 6.72 430034 | 1 0.20 6.92 430035 | 1 0.20 7.13 430036 | 1 0.20 7.33 430037 | 1 0.20 7.54 430038 | 1 0.20 7.74 430039 | 1 0.20 7.94 430040 | 1 0.20 8.15 430041 | 1 0.20 8.35 430042 | 1 0.20 8.55 430043 | 1 0.20 8.76 430044 | 1 0.20 8.96 430045 | 1 0.20 9.16 430046 | 1 0.20 9.37 430047 | 1 0.20 9.57 430048 | 1 0.20 9.78 430049 | 1 0.20 9.98 430050 | 1 0.20 10.18 430051 | 1 0.20 10.39 430052 | 1 0.20 10.59 430053 | 1 0.20 10.79 430054 | 1 0.20 11.00 430055 | 1 0.20 11.20 430056 | 1 0.20 11.41 430057 | 1 0.20 11.61 430058 | 1 0.20 11.81 430059 | 1 0.20 12.02 430060 | 1 0.20 12.22 430061 | 1 0.20 12.42 430062 | 1 0.20 12.63 430063 | 1 0.20 12.83 430064 | 1 0.20 13.03 430065 | 1 0.20 13.24 430066 | 1 0.20 13.44 430067 | 1 0.20 13.65 430068 | 1 0.20 13.85 430069 | 1 0.20 14.05 430070 | 1 0.20 14.26 430071 | 1 0.20 14.46 430072 | 1 0.20 14.66 430073 | 1 0.20 14.87 430074 | 1 0.20 15.07 430075 | 1 0.20 15.27 430077 | 1 0.20 15.48 430078 | 1 0.20 15.68 430079 | 1 0.20 15.89 430080 | 1 0.20 16.09 430081 | 1 0.20 16.29 430082 | 1 0.20 16.50 430083 | 1 0.20 16.70 430084 | 1 0.20 16.90 430085 | 1 0.20 17.11 430086 | 1 0.20 17.31 430087 | 1 0.20 17.52 430088 | 1 0.20 17.72 430089 | 1 0.20 17.92 430090 | 1 0.20 18.13 430091 | 1 0.20 18.33 430092 | 1 0.20 18.53 430093 | 1 0.20 18.74 430094 | 1 0.20 18.94 430095 | 1 0.20 19.14 430096 | 1 0.20 19.35 430097 | 1 0.20 19.55 430098 | 1 0.20 19.76 430099 | 1 0.20 19.96 430100 | 1 0.20 20.16 430101 | 1 0.20 20.37 430102 | 1 0.20 20.57 430103 | 1 0.20 20.77 430104 | 1 0.20 20.98 430105 | 1 0.20 21.18 430106 | 1 0.20 21.38 430107 | 1 0.20 21.59 430108 | 1 0.20 21.79 430109 | 1 0.20 22.00 430110 | 1 0.20 22.20 430111 | 1 0.20 22.40 430112 | 1 0.20 22.61 430113 | 1 0.20 22.81 430114 | 1 0.20 23.01 430115 | 1 0.20 23.22 430116 | 1 0.20 23.42 430117 | 1 0.20 23.63 430118 | 1 0.20 23.83 430119 | 1 0.20 24.03 430120 | 1 0.20 24.24 430121 | 1 0.20 24.44 430122 | 1 0.20 24.64 430123 | 1 0.20 24.85 430124 | 1 0.20 25.05 430125 | 1 0.20 25.25 430126 | 1 0.20 25.46 430127 | 1 0.20 25.66 430128 | 1 0.20 25.87 430129 | 1 0.20 26.07 430130 | 1 0.20 26.27 430131 | 1 0.20 26.48 430132 | 1 0.20 26.68 430133 | 1 0.20 26.88 430134 | 1 0.20 27.09 430135 | 1 0.20 27.29 430136 | 1 0.20 27.49 430137 | 1 0.20 27.70 430138 | 1 0.20 27.90 430139 | 1 0.20 28.11 430140 | 1 0.20 28.31 430141 | 1 0.20 28.51 430142 | 1 0.20 28.72 430143 | 1 0.20 28.92 430144 | 1 0.20 29.12 430145 | 1 0.20 29.33 430146 | 1 0.20 29.53 430147 | 1 0.20 29.74 430148 | 1 0.20 29.94 430149 | 1 0.20 30.14 430150 | 1 0.20 30.35 430151 | 1 0.20 30.55 430152 | 1 0.20 30.75 430153 | 1 0.20 30.96 430154 | 1 0.20 31.16 430155 | 1 0.20 31.36 430156 | 1 0.20 31.57 430157 | 1 0.20 31.77 430158 | 1 0.20 31.98 430159 | 1 0.20 32.18 430160 | 1 0.20 32.38 430161 | 1 0.20 32.59 430162 | 1 0.20 32.79 430163 | 1 0.20 32.99 430164 | 1 0.20 33.20 430165 | 1 0.20 33.40 430166 | 1 0.20 33.60 430167 | 1 0.20 33.81 430168 | 1 0.20 34.01 430169 | 1 0.20 34.22 430170 | 1 0.20 34.42 430171 | 1 0.20 34.62 430172 | 1 0.20 34.83 430173 | 1 0.20 35.03 430174 | 1 0.20 35.23 430175 | 1 0.20 35.44 430176 | 1 0.20 35.64 430177 | 1 0.20 35.85 430178 | 1 0.20 36.05 430179 | 1 0.20 36.25 430180 | 1 0.20 36.46 430181 | 1 0.20 36.66 430182 | 1 0.20 36.86 430183 | 1 0.20 37.07 430184 | 1 0.20 37.27 430185 | 1 0.20 37.47 430186 | 1 0.20 37.68 430187 | 1 0.20 37.88 430188 | 1 0.20 38.09 430189 | 1 0.20 38.29 430190 | 1 0.20 38.49 430191 | 1 0.20 38.70 430192 | 1 0.20 38.90 430193 | 1 0.20 39.10 430194 | 1 0.20 39.31 430195 | 1 0.20 39.51 430196 | 1 0.20 39.71 430197 | 1 0.20 39.92 430198 | 1 0.20 40.12 430199 | 1 0.20 40.33 430200 | 1 0.20 40.53 430201 | 1 0.20 40.73 430202 | 1 0.20 40.94 430203 | 1 0.20 41.14 430204 | 1 0.20 41.34 430205 | 1 0.20 41.55 430206 | 1 0.20 41.75 430207 | 1 0.20 41.96 430208 | 1 0.20 42.16 430209 | 1 0.20 42.36 430210 | 1 0.20 42.57 430211 | 1 0.20 42.77 430212 | 1 0.20 42.97 430213 | 1 0.20 43.18 430214 | 1 0.20 43.38 430215 | 1 0.20 43.58 430216 | 1 0.20 43.79 430217 | 1 0.20 43.99 430218 | 1 0.20 44.20 430219 | 1 0.20 44.40 430220 | 1 0.20 44.60 430221 | 1 0.20 44.81 430222 | 1 0.20 45.01 430223 | 1 0.20 45.21 430224 | 1 0.20 45.42 430225 | 1 0.20 45.62 430226 | 1 0.20 45.82 430227 | 1 0.20 46.03 430228 | 1 0.20 46.23 430229 | 1 0.20 46.44 430230 | 1 0.20 46.64 430231 | 1 0.20 46.84 430232 | 1 0.20 47.05 430233 | 1 0.20 47.25 430234 | 1 0.20 47.45 430235 | 1 0.20 47.66 430236 | 1 0.20 47.86 430237 | 1 0.20 48.07 430238 | 1 0.20 48.27 430239 | 1 0.20 48.47 430240 | 1 0.20 48.68 430241 | 1 0.20 48.88 430242 | 1 0.20 49.08 430243 | 1 0.20 49.29 430244 | 1 0.20 49.49 430245 | 1 0.20 49.69 430246 | 1 0.20 49.90 430247 | 1 0.20 50.10 430248 | 1 0.20 50.31 430249 | 1 0.20 50.51 430250 | 1 0.20 50.71 430251 | 1 0.20 50.92 430252 | 1 0.20 51.12 430253 | 1 0.20 51.32 430254 | 1 0.20 51.53 430255 | 1 0.20 51.73 430256 | 1 0.20 51.93 430257 | 1 0.20 52.14 430258 | 1 0.20 52.34 430259 | 1 0.20 52.55 430260 | 1 0.20 52.75 430261 | 1 0.20 52.95 430262 | 1 0.20 53.16 430263 | 1 0.20 53.36 430264 | 1 0.20 53.56 430265 | 1 0.20 53.77 430266 | 1 0.20 53.97 430267 | 1 0.20 54.18 430268 | 1 0.20 54.38 430269 | 1 0.20 54.58 430270 | 1 0.20 54.79 430271 | 1 0.20 54.99 430272 | 1 0.20 55.19 430273 | 1 0.20 55.40 430274 | 1 0.20 55.60 430275 | 1 0.20 55.80 430276 | 1 0.20 56.01 430277 | 1 0.20 56.21 430278 | 1 0.20 56.42 430279 | 1 0.20 56.62 430280 | 1 0.20 56.82 430281 | 1 0.20 57.03 430282 | 1 0.20 57.23 430283 | 1 0.20 57.43 430284 | 1 0.20 57.64 430285 | 1 0.20 57.84 430286 | 1 0.20 58.04 430287 | 1 0.20 58.25 430288 | 1 0.20 58.45 430289 | 1 0.20 58.66 430290 | 1 0.20 58.86 430291 | 1 0.20 59.06 430292 | 1 0.20 59.27 430293 | 1 0.20 59.47 430294 | 1 0.20 59.67 430295 | 1 0.20 59.88 430296 | 1 0.20 60.08 430297 | 1 0.20 60.29 430298 | 1 0.20 60.49 430299 | 1 0.20 60.69 430300 | 1 0.20 60.90 430301 | 1 0.20 61.10 430302 | 1 0.20 61.30 430303 | 1 0.20 61.51 430304 | 1 0.20 61.71 430305 | 1 0.20 61.91 430306 | 1 0.20 62.12 430307 | 1 0.20 62.32 430308 | 1 0.20 62.53 430309 | 1 0.20 62.73 430310 | 1 0.20 62.93 430311 | 1 0.20 63.14 430312 | 1 0.20 63.34 430313 | 1 0.20 63.54 430314 | 1 0.20 63.75 430315 | 1 0.20 63.95 430316 | 1 0.20 64.15 430317 | 1 0.20 64.36 430318 | 1 0.20 64.56 430319 | 1 0.20 64.77 430320 | 1 0.20 64.97 430321 | 1 0.20 65.17 430322 | 1 0.20 65.38 430323 | 1 0.20 65.58 430324 | 1 0.20 65.78 430325 | 1 0.20 65.99 430326 | 1 0.20 66.19 430327 | 1 0.20 66.40 430328 | 1 0.20 66.60 430329 | 1 0.20 66.80 430330 | 1 0.20 67.01 430331 | 1 0.20 67.21 430332 | 1 0.20 67.41 430333 | 1 0.20 67.62 430334 | 1 0.20 67.82 430335 | 1 0.20 68.02 430336 | 1 0.20 68.23 430337 | 1 0.20 68.43 430338 | 1 0.20 68.64 430339 | 1 0.20 68.84 430340 | 1 0.20 69.04 430341 | 1 0.20 69.25 430342 | 1 0.20 69.45 430343 | 1 0.20 69.65 430344 | 1 0.20 69.86 430345 | 1 0.20 70.06 430346 | 1 0.20 70.26 430347 | 1 0.20 70.47 430348 | 1 0.20 70.67 430349 | 1 0.20 70.88 430350 | 1 0.20 71.08 430351 | 1 0.20 71.28 430352 | 1 0.20 71.49 430353 | 1 0.20 71.69 430354 | 1 0.20 71.89 430355 | 1 0.20 72.10 430356 | 1 0.20 72.30 430357 | 1 0.20 72.51 430358 | 1 0.20 72.71 430359 | 1 0.20 72.91 430360 | 1 0.20 73.12 430361 | 1 0.20 73.32 430362 | 1 0.20 73.52 430363 | 1 0.20 73.73 430364 | 1 0.20 73.93 430365 | 1 0.20 74.13 430366 | 1 0.20 74.34 430367 | 1 0.20 74.54 430368 | 1 0.20 74.75 430369 | 1 0.20 74.95 430370 | 1 0.20 75.15 430371 | 1 0.20 75.36 430372 | 1 0.20 75.56 430373 | 1 0.20 75.76 430374 | 1 0.20 75.97 430375 | 1 0.20 76.17 430376 | 1 0.20 76.37 430377 | 1 0.20 76.58 430378 | 1 0.20 76.78 430379 | 1 0.20 76.99 430380 | 1 0.20 77.19 430381 | 1 0.20 77.39 430382 | 1 0.20 77.60 430383 | 1 0.20 77.80 430384 | 1 0.20 78.00 430385 | 1 0.20 78.21 430386 | 1 0.20 78.41 430387 | 1 0.20 78.62 430388 | 1 0.20 78.82 430389 | 1 0.20 79.02 430390 | 1 0.20 79.23 430391 | 1 0.20 79.43 430392 | 1 0.20 79.63 430393 | 1 0.20 79.84 430394 | 1 0.20 80.04 430395 | 1 0.20 80.24 430396 | 1 0.20 80.45 430397 | 1 0.20 80.65 430398 | 1 0.20 80.86 430399 | 1 0.20 81.06 430400 | 1 0.20 81.26 430401 | 1 0.20 81.47 430402 | 1 0.20 81.67 430403 | 1 0.20 81.87 430404 | 1 0.20 82.08 430405 | 1 0.20 82.28 430406 | 1 0.20 82.48 430407 | 1 0.20 82.69 430408 | 1 0.20 82.89 430409 | 1 0.20 83.10 430410 | 1 0.20 83.30 430411 | 1 0.20 83.50 430412 | 1 0.20 83.71 430413 | 1 0.20 83.91 430414 | 1 0.20 84.11 430415 | 1 0.20 84.32 430416 | 1 0.20 84.52 430417 | 1 0.20 84.73 430418 | 1 0.20 84.93 430419 | 1 0.20 85.13 430420 | 1 0.20 85.34 430421 | 1 0.20 85.54 430422 | 1 0.20 85.74 430423 | 1 0.20 85.95 430424 | 1 0.20 86.15 430425 | 1 0.20 86.35 430426 | 1 0.20 86.56 430427 | 1 0.20 86.76 430431 | 1 0.20 86.97 430432 | 1 0.20 87.17 430433 | 1 0.20 87.37 430434 | 1 0.20 87.58 430435 | 1 0.20 87.78 430436 | 1 0.20 87.98 430437 | 1 0.20 88.19 430438 | 1 0.20 88.39 430439 | 1 0.20 88.59 430440 | 1 0.20 88.80 430441 | 1 0.20 89.00 430442 | 1 0.20 89.21 430443 | 1 0.20 89.41 430444 | 1 0.20 89.61 430445 | 1 0.20 89.82 430446 | 1 0.20 90.02 430447 | 1 0.20 90.22 430448 | 1 0.20 90.43 430449 | 1 0.20 90.63 430450 | 1 0.20 90.84 430451 | 1 0.20 91.04 430452 | 1 0.20 91.24 430453 | 1 0.20 91.45 430454 | 1 0.20 91.65 430455 | 1 0.20 91.85 430456 | 1 0.20 92.06 430457 | 1 0.20 92.26 430458 | 1 0.20 92.46 430459 | 1 0.20 92.67 430460 | 1 0.20 92.87 430461 | 1 0.20 93.08 430462 | 1 0.20 93.28 430463 | 1 0.20 93.48 430464 | 1 0.20 93.69 430465 | 1 0.20 93.89 430466 | 1 0.20 94.09 430467 | 1 0.20 94.30 430468 | 1 0.20 94.50 430469 | 1 0.20 94.70 430470 | 1 0.20 94.91 430471 | 1 0.20 95.11 430472 | 1 0.20 95.32 430473 | 1 0.20 95.52 430474 | 1 0.20 95.72 430475 | 1 0.20 95.93 430476 | 1 0.20 96.13 430477 | 1 0.20 96.33 430478 | 1 0.20 96.54 430479 | 1 0.20 96.74 430480 | 1 0.20 96.95 430481 | 1 0.20 97.15 430482 | 1 0.20 97.35 430483 | 1 0.20 97.56 430484 | 1 0.20 97.76 430485 | 1 0.20 97.96 430486 | 1 0.20 98.17 430487 | 1 0.20 98.37 430488 | 1 0.20 98.57 430489 | 1 0.20 98.78 430490 | 1 0.20 98.98 430491 | 1 0.20 99.19 430492 | 1 0.20 99.39 430493 | 1 0.20 99.59 430494 | 1 0.20 99.80 430495 | 1 0.20 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for city variable in accident dataset : City | Freq. Percent Cum. ------------+----------------------------------- 10 | 2 0.41 0.41 20 | 11 2.24 2.65 30 | 6 1.22 3.87 40 | 3 0.61 4.48 50 | 1 0.20 4.68 60 | 1 0.20 4.89 70 | 3 0.61 5.50 90 | 24 4.89 10.39 100 | 2 0.41 10.79 120 | 6 1.22 12.02 130 | 5 1.02 13.03 140 | 25 5.09 18.13 160 | 4 0.81 18.94 170 | 14 2.85 21.79 180 | 6 1.22 23.01 190 | 5 1.02 24.03 200 | 17 3.46 27.49 220 | 3 0.61 28.11 230 | 10 2.04 30.14 240 | 1 0.20 30.35 270 | 4 0.81 31.16 280 | 3 0.61 31.77 290 | 4 0.81 32.59 310 | 2 0.41 32.99 320 | 4 0.81 33.81 360 | 10 2.04 35.85 380 | 1 0.20 36.05 420 | 1 0.20 36.25 430 | 7 1.43 37.68 440 | 2 0.41 38.09 450 | 5 1.02 39.10 470 | 8 1.63 40.73 480 | 9 1.83 42.57 490 | 2 0.41 42.97 500 | 6 1.22 44.20 510 | 5 1.02 45.21 530 | 9 1.83 47.05 540 | 1 0.20 47.25 550 | 2 0.41 47.66 570 | 5 1.02 48.68 580 | 1 0.20 48.88 590 | 5 1.02 49.90 600 | 3 0.61 50.51 610 | 2 0.41 50.92 620 | 8 1.63 52.55 630 | 1 0.20 52.75 640 | 2 0.41 53.16 650 | 9 1.83 54.99 670 | 6 1.22 56.21 680 | 2 0.41 56.62 690 | 3 0.61 57.23 700 | 3 0.61 57.84 710 | 5 1.02 58.86 740 | 3 0.61 59.47 750 | 4 0.81 60.29 760 | 21 4.28 64.56 765 | 1 0.20 64.77 768 | 4 0.81 65.58 790 | 3 0.61 66.19 800 | 2 0.41 66.60 820 | 12 2.44 69.04 830 | 42 8.55 77.60 860 | 3 0.61 78.21 900 | 6 1.22 79.43 920 | 5 1.02 80.45 930 | 8 1.63 82.08 940 | 4 0.81 82.89 950 | 1 0.20 83.10 960 | 4 0.81 83.91 964 | 19 3.87 87.78 970 | 4 0.81 88.59 980 | 15 3.05 91.65 990 | 5 1.02 92.67 1000 | 3 0.61 93.28 1010 | 7 1.43 94.70 1020 | 14 2.85 97.56 1030 | 1 0.20 97.76 1040 | 3 0.61 98.37 1050 | 3 0.61 98.98 1060 | 5 1.02 100.00 ------------+----------------------------------- Total | 491 100.00 Frequencies for rail variable in accident dataset : Rail Grade | Xing ID | Freq. Percent Cum. ------------+----------------------------------- 0000000 | 491 100.00 100.00 ------------+----------------------------------- Total | 491 100.00 by Jean Roth , jroth@nber.org , 22 Apr 2016