Frequencies for vehicle dataset : by Jean Roth , jroth@nber.org , 22 Apr 2016 Frequencies for state variable in vehicle dataset : State | Freq. Percent Cum. ------------+----------------------------------- 43 | 583 100.00 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for ve_forms variable in vehicle dataset : Vehicle | Forms | Submitted | Freq. Percent Cum. ------------+----------------------------------- 1 | 314 53.86 53.86 2 | 216 37.05 90.91 3 | 48 8.23 99.14 5 | 5 0.86 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for harm_ev variable in vehicle dataset : First | Harmful | Event | Freq. Percent Cum. ------------+----------------------------------- 1 | 35 6.00 6.00 5 | 9 1.54 7.55 8 | 152 26.07 33.62 9 | 12 2.06 35.68 11 | 2 0.34 36.02 12 | 254 43.57 79.59 14 | 19 3.26 82.85 16 | 2 0.34 83.19 17 | 3 0.51 83.70 19 | 6 1.03 84.73 20 | 12 2.06 86.79 21 | 7 1.20 87.99 22 | 15 2.57 90.57 23 | 2 0.34 90.91 24 | 5 0.86 91.77 25 | 2 0.34 92.11 26 | 4 0.69 92.80 27 | 29 4.97 97.77 28 | 10 1.72 99.49 31 | 3 0.51 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for man_coll variable in vehicle dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 0 | 329 56.43 56.43 1 | 35 6.00 62.44 2 | 105 18.01 80.45 3 | 3 0.51 80.96 4 | 99 16.98 97.94 5 | 5 0.86 98.80 6 | 7 1.20 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for hit_run variable in vehicle dataset : Hit-and-Run | Freq. Percent Cum. ------------+----------------------------------- 0 | 572 98.11 98.11 1 | 7 1.20 99.31 2 | 3 0.51 99.83 3 | 1 0.17 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for veh_no variable in vehicle dataset : Vehicle | Number | Freq. Percent Cum. ------------+----------------------------------- 1 | 439 75.30 75.30 2 | 125 21.44 96.74 3 | 17 2.92 99.66 4 | 1 0.17 99.83 5 | 1 0.17 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for make variable in vehicle dataset : Vehicle | Make | Freq. Percent Cum. ------------+----------------------------------- 1 | 4 0.69 0.69 2 | 27 4.63 5.32 7 | 40 6.86 12.18 9 | 18 3.09 15.27 12 | 128 21.96 37.22 14 | 8 1.37 38.59 18 | 17 2.92 41.51 19 | 3 0.51 42.02 20 | 131 22.47 64.49 21 | 13 2.23 66.72 22 | 7 1.20 67.92 23 | 5 0.86 68.78 30 | 36 6.17 74.96 34 | 3 0.51 75.47 35 | 37 6.35 81.82 36 | 1 0.17 81.99 37 | 12 2.06 84.05 41 | 8 1.37 85.42 42 | 1 0.17 85.59 48 | 2 0.34 85.93 49 | 47 8.06 94.00 51 | 4 0.69 94.68 60 | 1 0.17 94.85 62 | 2 0.34 95.20 63 | 2 0.34 95.54 67 | 4 0.69 96.23 69 | 1 0.17 96.40 80 | 2 0.34 96.74 84 | 7 1.20 97.94 86 | 2 0.34 98.28 95 | 6 1.03 99.31 98 | 3 0.51 99.83 99 | 1 0.17 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for model variable in vehicle dataset : Vehicle | Model Code | Freq. Percent Cum. ------------+----------------------------------- 0 | 58 9.95 9.95 1 | 23 3.95 13.89 2 | 18 3.09 16.98 3 | 13 2.23 19.21 4 | 3 0.51 19.73 5 | 1 0.17 19.90 6 | 2 0.34 20.24 7 | 3 0.51 20.75 8 | 24 4.12 24.87 9 | 11 1.89 26.76 10 | 7 1.20 27.96 11 | 2 0.34 28.30 13 | 1 0.17 28.47 31 | 2 0.34 28.82 32 | 1 0.17 28.99 34 | 6 1.03 30.02 62 | 1 0.17 30.19 64 | 1 0.17 30.36 65 | 1 0.17 30.53 69 | 11 1.89 32.42 72 | 1 0.17 32.59 73 | 3 0.51 33.10 74 | 7 1.20 34.31 78 | 1 0.17 34.48 79 | 42 7.20 41.68 81 | 4 0.69 42.37 85 | 6 1.03 43.40 88 | 5 0.86 44.25 89 | 8 1.37 45.63 98 | 8 1.37 47.00 99 | 309 53.00 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for body_typ variable in vehicle dataset : Body Type | Freq. Percent Cum. ------------+----------------------------------- 2 | 257 44.08 44.08 3 | 123 21.10 65.18 6 | 9 1.54 66.72 9 | 43 7.38 74.10 15 | 13 2.23 76.33 17 | 1 0.17 76.50 25 | 2 0.34 76.84 27 | 2 0.34 77.19 28 | 1 0.17 77.36 29 | 2 0.34 77.70 42 | 1 0.17 77.87 43 | 26 4.46 82.33 45 | 1 0.17 82.50 50 | 30 5.15 87.65 51 | 19 3.26 90.91 52 | 2 0.34 91.25 56 | 1 0.17 91.42 57 | 11 1.89 93.31 59 | 1 0.17 93.48 60 | 32 5.49 98.97 99 | 6 1.03 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for mod_year variable in vehicle dataset : Model Year | Freq. Percent Cum. ------------+----------------------------------- 12 | 1 0.17 0.17 53 | 1 0.17 0.34 55 | 1 0.17 0.51 59 | 1 0.17 0.69 61 | 2 0.34 1.03 62 | 4 0.69 1.72 63 | 10 1.72 3.43 64 | 13 2.23 5.66 65 | 18 3.09 8.75 66 | 28 4.80 13.55 67 | 21 3.60 17.15 68 | 37 6.35 23.50 69 | 34 5.83 29.33 70 | 46 7.89 37.22 71 | 45 7.72 44.94 72 | 51 8.75 53.69 73 | 63 10.81 64.49 74 | 38 6.52 71.01 75 | 18 3.09 74.10 76 | 56 9.61 83.70 77 | 53 9.09 92.80 78 | 33 5.66 98.46 79 | 3 0.51 98.97 99 | 6 1.03 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for reg_stat variable in vehicle dataset : Registratio | n State | Freq. Percent Cum. ------------+----------------------------------- 43 | 579 99.31 99.31 95 | 2 0.34 99.66 96 | 1 0.17 99.83 97 | 1 0.17 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for rollover variable in vehicle dataset : Rollover | Freq. Percent Cum. ------------+----------------------------------- 0 | 509 87.31 87.31 1 | 34 5.83 93.14 2 | 40 6.86 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for j_knife variable in vehicle dataset : Jackknife | Freq. Percent Cum. ------------+----------------------------------- . | 583 100.00 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for trav_sp variable in vehicle dataset : Travel | Speed | Freq. Percent Cum. ------------+----------------------------------- 0 | 3 0.51 0.51 43 | 2 0.34 0.86 99 | 578 99.14 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for tow_veh variable in vehicle dataset : Towed | Trailing | Unit | Freq. Percent Cum. ------------+----------------------------------- 0 | 581 99.66 99.66 1 | 2 0.34 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for spec_use variable in vehicle dataset : Special Use | Freq. Percent Cum. ------------+----------------------------------- 0 | 564 96.74 96.74 1 | 6 1.03 97.77 2 | 1 0.17 97.94 3 | 6 1.03 98.97 4 | 2 0.34 99.31 5 | 4 0.69 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for emer_use variable in vehicle dataset : Emergency | Use | Freq. Percent Cum. ------------+----------------------------------- 0 | 576 98.80 98.80 1 | 7 1.20 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for impact1 variable in vehicle dataset : Impact | Point-Initi | al | Freq. Percent Cum. ------------+----------------------------------- 0 | 44 7.55 7.55 1 | 85 14.58 22.13 2 | 2 0.34 22.47 3 | 32 5.49 27.96 4 | 2 0.34 28.30 5 | 5 0.86 29.16 6 | 28 4.80 33.96 7 | 7 1.20 35.16 8 | 1 0.17 35.33 9 | 17 2.92 38.25 10 | 3 0.51 38.77 11 | 70 12.01 50.77 12 | 281 48.20 98.97 14 | 5 0.86 99.83 99 | 1 0.17 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for impact2 variable in vehicle dataset : Impact | Point-Princ | ipal | Freq. Percent Cum. ------------+----------------------------------- 0 | 44 7.55 7.55 1 | 54 9.26 16.81 2 | 2 0.34 17.15 3 | 40 6.86 24.01 4 | 1 0.17 24.19 5 | 7 1.20 25.39 6 | 26 4.46 29.85 7 | 6 1.03 30.87 9 | 17 2.92 33.79 10 | 4 0.69 34.48 11 | 35 6.00 40.48 12 | 299 51.29 91.77 13 | 43 7.38 99.14 14 | 1 0.17 99.31 15 | 3 0.51 99.83 99 | 1 0.17 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for deformed variable in vehicle dataset : Extent of | Deformation | Freq. Percent Cum. ------------+----------------------------------- 0 | 53 9.09 9.09 2 | 119 20.41 29.50 4 | 84 14.41 43.91 6 | 326 55.92 99.83 9 | 1 0.17 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for impacts variable in vehicle dataset : Vehicle | Role | Freq. Percent Cum. ------------+----------------------------------- 0 | 49 8.40 8.40 1 | 514 88.16 96.57 2 | 9 1.54 98.11 3 | 10 1.72 99.83 9 | 1 0.17 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for towaway variable in vehicle dataset : Manner of | Leaving | Scene | Freq. Percent Cum. ------------+----------------------------------- 1 | 192 32.93 32.93 2 | 327 56.09 89.02 9 | 64 10.98 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for fire_exp variable in vehicle dataset : Fire | Occurrence | Freq. Percent Cum. ------------+----------------------------------- 0 | 572 98.11 98.11 1 | 11 1.89 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for ocupants variable in vehicle dataset : Number of | Occupants | Freq. Percent Cum. ------------+----------------------------------- 0 | 6 1.03 1.03 1 | 362 62.09 63.12 2 | 106 18.18 81.30 3 | 42 7.20 88.51 4 | 22 3.77 92.28 5 | 13 2.23 94.51 6 | 2 0.34 94.85 7 | 4 0.69 95.54 8 | 2 0.34 95.88 16 | 1 0.17 96.05 66 | 1 0.17 96.23 97 | 14 2.40 98.63 99 | 8 1.37 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for deaths variable in vehicle dataset : Fatals in | Vehicle | Freq. Percent Cum. ------------+----------------------------------- 0 | 313 53.69 53.69 1 | 248 42.54 96.23 2 | 16 2.74 98.97 3 | 2 0.34 99.31 4 | 2 0.34 99.66 5 | 1 0.17 99.83 11 | 1 0.17 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for veh_cf1 variable in vehicle dataset : Vehicle | Related | Factor 1 | Freq. Percent Cum. ------------+----------------------------------- 0 | 546 93.65 93.65 1 | 6 1.03 94.68 2 | 21 3.60 98.28 3 | 2 0.34 98.63 14 | 3 0.51 99.14 15 | 2 0.34 99.49 99 | 3 0.51 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for veh_cf2 variable in vehicle dataset : Vehicle | Related | Factor 2 | Freq. Percent Cum. ------------+----------------------------------- 0 | 578 99.14 99.14 2 | 1 0.17 99.31 5 | 1 0.17 99.49 99 | 3 0.51 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for m_harm variable in vehicle dataset : Most | Harmful | Event | Freq. Percent Cum. ------------+----------------------------------- . | 583 100.00 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for chas_tr variable in vehicle dataset : VIN | Chassis-Tru | ck | Freq. Percent Cum. ------------+----------------------------------- 99 | 497 85.25 85.25 . | 86 14.75 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for wgtcd_tr variable in vehicle dataset : Weight | Code-Truck | Freq. Percent Cum. ------------+----------------------------------- 0 | 2 0.34 0.34 1 | 8 1.37 1.72 2 | 5 0.86 2.57 6 | 3 0.51 3.09 8 | 1 0.17 3.26 9 | 497 85.25 88.51 . | 67 11.49 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for vin_lngt variable in vehicle dataset : VIN Length | Freq. Percent Cum. ------------+----------------------------------- 9 | 4 0.69 0.69 10 | 7 1.20 1.89 11 | 21 3.60 5.49 12 | 7 1.20 6.69 13 | 55 9.43 16.12 99 | 489 83.88 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for vin_1 variable in vehicle dataset : vin_1 | Freq. Percent Cum. ------------+----------------------------------- | 1 0.17 0.17 1 | 25 4.29 4.46 2 | 4 0.69 5.15 3 | 6 1.03 6.17 4 | 5 0.86 7.03 5 | 1 0.17 7.20 6 | 4 0.69 7.89 7 | 3 0.51 8.40 9 | 489 83.88 92.28 A | 2 0.34 92.62 B | 1 0.17 92.80 C | 5 0.86 93.65 E | 4 0.69 94.34 F | 4 0.69 95.03 H | 7 1.20 96.23 J | 2 0.34 96.57 K | 4 0.69 97.26 L | 1 0.17 97.43 N | 2 0.34 97.77 S | 5 0.86 98.63 T | 5 0.86 99.49 V | 2 0.34 99.83 X | 1 0.17 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for vin_2 variable in vehicle dataset : vin_2 | Freq. Percent Cum. ------------+----------------------------------- | 1 0.17 0.17 0 | 2 0.34 0.51 1 | 1 0.17 0.69 2 | 5 0.86 1.54 3 | 2 0.34 1.89 4 | 1 0.17 2.06 7 | 3 0.51 2.57 8 | 3 0.51 3.09 9 | 492 84.39 87.48 A | 2 0.34 87.82 B | 2 0.34 88.16 C | 6 1.03 89.19 D | 5 0.86 90.05 E | 6 1.03 91.08 F | 2 0.34 91.42 G | 5 0.86 92.28 H | 6 1.03 93.31 J | 2 0.34 93.65 K | 2 0.34 94.00 L | 14 2.40 96.40 P | 2 0.34 96.74 Q | 1 0.17 96.91 R | 1 0.17 97.08 S | 2 0.34 97.43 T | 1 0.17 97.60 W | 1 0.17 97.77 X | 11 1.89 99.66 Y | 1 0.17 99.83 Z | 1 0.17 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for vin_3 variable in vehicle dataset : vin_3 | Freq. Percent Cum. ------------+----------------------------------- | 1 0.17 0.17 0 | 8 1.37 1.54 1 | 3 0.51 2.06 2 | 19 3.26 5.32 3 | 15 2.57 7.89 4 | 8 1.37 9.26 5 | 6 1.03 10.29 6 | 1 0.17 10.46 7 | 2 0.34 10.81 8 | 6 1.03 11.84 9 | 490 84.05 95.88 A | 1 0.17 96.05 B | 5 0.86 96.91 C | 3 0.51 97.43 D | 3 0.51 97.94 F | 2 0.34 98.28 G | 1 0.17 98.46 L | 2 0.34 98.80 O | 1 0.17 98.97 Q | 2 0.34 99.31 S | 2 0.34 99.66 T | 1 0.17 99.83 Y | 1 0.17 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for vin_4 variable in vehicle dataset : vin_4 | Freq. Percent Cum. ------------+----------------------------------- | 1 0.17 0.17 0 | 1 0.17 0.34 1 | 15 2.57 2.92 2 | 11 1.89 4.80 3 | 2 0.34 5.15 4 | 1 0.17 5.32 5 | 4 0.69 6.00 6 | 1 0.17 6.17 7 | 27 4.63 10.81 8 | 5 0.86 11.66 9 | 499 85.59 97.26 A | 1 0.17 97.43 B | 5 0.86 98.28 E | 3 0.51 98.80 H | 5 0.86 99.66 T | 1 0.17 99.83 V | 1 0.17 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for vin_5 variable in vehicle dataset : vin_5 | Freq. Percent Cum. ------------+----------------------------------- | 1 0.17 0.17 0 | 7 1.20 1.37 1 | 7 1.20 2.57 2 | 3 0.51 3.09 3 | 3 0.51 3.60 4 | 4 0.69 4.29 5 | 4 0.69 4.97 6 | 1 0.17 5.15 7 | 3 0.51 5.66 8 | 1 0.17 5.83 9 | 490 84.05 89.88 A | 2 0.34 90.22 B | 1 0.17 90.39 C | 5 0.86 91.25 D | 5 0.86 92.11 E | 3 0.51 92.62 F | 9 1.54 94.17 H | 15 2.57 96.74 K | 3 0.51 97.26 L | 3 0.51 97.77 Q | 3 0.51 98.28 U | 3 0.51 98.80 V | 4 0.69 99.49 W | 1 0.17 99.66 Y | 2 0.34 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for vin_6 variable in vehicle dataset : vin_6 | Freq. Percent Cum. ------------+----------------------------------- | 1 0.17 0.17 0 | 7 1.20 1.37 1 | 15 2.57 3.95 2 | 6 1.03 4.97 3 | 7 1.20 6.17 4 | 11 1.89 8.06 5 | 2 0.34 8.40 6 | 13 2.23 10.63 7 | 10 1.72 12.35 8 | 10 1.72 14.07 9 | 489 83.88 97.94 A | 2 0.34 98.28 B | 1 0.17 98.46 C | 1 0.17 98.63 D | 1 0.17 98.80 E | 1 0.17 98.97 F | 1 0.17 99.14 J | 1 0.17 99.31 W | 1 0.17 99.49 X | 3 0.51 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for vin_7 variable in vehicle dataset : vin_7 | Freq. Percent Cum. ------------+----------------------------------- | 1 0.17 0.17 0 | 9 1.54 1.72 1 | 6 1.03 2.74 2 | 5 0.86 3.60 3 | 7 1.20 4.80 4 | 1 0.17 4.97 5 | 2 0.34 5.32 6 | 5 0.86 6.17 7 | 1 0.17 6.35 8 | 6 1.03 7.38 9 | 491 84.22 91.60 A | 2 0.34 91.94 B | 11 1.89 93.83 C | 1 0.17 94.00 D | 3 0.51 94.51 E | 2 0.34 94.85 F | 1 0.17 95.03 G | 3 0.51 95.54 H | 4 0.69 96.23 K | 1 0.17 96.40 L | 1 0.17 96.57 N | 3 0.51 97.08 S | 1 0.17 97.26 T | 5 0.86 98.11 U | 3 0.51 98.63 W | 5 0.86 99.49 X | 2 0.34 99.83 Y | 1 0.17 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for vin_8 variable in vehicle dataset : vin_8 | Freq. Percent Cum. ------------+----------------------------------- | 1 0.17 0.17 0 | 5 0.86 1.03 1 | 31 5.32 6.35 2 | 13 2.23 8.58 3 | 4 0.69 9.26 4 | 11 1.89 11.15 5 | 13 2.23 13.38 6 | 6 1.03 14.41 7 | 1 0.17 14.58 8 | 4 0.69 15.27 9 | 494 84.73 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for vin_9 variable in vehicle dataset : vin_9 | Freq. Percent Cum. ------------+----------------------------------- | 93 15.95 15.95 7 | 1 0.17 16.12 9 | 489 83.88 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for vin_10 variable in vehicle dataset : vin_10 | Freq. Percent Cum. ------------+----------------------------------- | 93 15.95 15.95 3 | 1 0.17 16.12 9 | 489 83.88 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for fldcd_tr variable in vehicle dataset : Fuel | Code-Truck | Freq. Percent Cum. ------------+----------------------------------- | 1 0.17 0.17 * | 67 11.49 11.66 9 | 497 85.25 96.91 D | 1 0.17 97.08 G | 17 2.92 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for mcycl_ty variable in vehicle dataset : VIN Type | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- ** | 86 14.75 14.75 99 | 497 85.25 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for dr_pres variable in vehicle dataset : Driver | Presence | Freq. Percent Cum. ------------+----------------------------------- 1 | 575 98.63 98.63 2 | 7 1.20 99.83 9 | 1 0.17 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for dr_drink variable in vehicle dataset : Drunk | Driver | Freq. Percent Cum. ------------+----------------------------------- 0 | 472 80.96 80.96 1 | 111 19.04 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for l_state variable in vehicle dataset : License | State | Freq. Percent Cum. ------------+----------------------------------- 1 | 1 0.17 0.17 36 | 2 0.34 0.51 43 | 572 98.11 98.63 99 | 8 1.37 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for l_status variable in vehicle dataset : License | Status | Freq. Percent Cum. ------------+----------------------------------- 1 | 89 15.27 15.27 2 | 1 0.17 15.44 3 | 462 79.25 94.68 4 | 6 1.03 95.71 7 | 16 2.74 98.46 9 | 9 1.54 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for l_restri variable in vehicle dataset : Compliance | with | License | Restriction | s | Freq. Percent Cum. ------------+----------------------------------- 0 | 554 95.03 95.03 1 | 7 1.20 96.23 2 | 13 2.23 98.46 9 | 9 1.54 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for dr_train variable in vehicle dataset : Driver | Training | Freq. Percent Cum. ------------+----------------------------------- 0 | 6 1.03 1.03 1 | 1 0.17 1.20 4 | 1 0.17 1.37 6 | 1 0.17 1.54 9 | 574 98.46 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for viol_chg variable in vehicle dataset : Violations | Charged | Freq. Percent Cum. ------------+----------------------------------- 0 | 169 28.99 28.99 1 | 308 52.83 81.82 2 | 98 16.81 98.63 9 | 8 1.37 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for prev_acc variable in vehicle dataset : Previous | Recorded | Accidents | Freq. Percent Cum. ------------+----------------------------------- 0 | 482 82.68 82.68 1 | 1 0.17 82.85 99 | 100 17.15 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for prev_sus variable in vehicle dataset : Previous | Recorded | Suspensions | Freq. Percent Cum. ------------+----------------------------------- 0 | 473 81.13 81.13 1 | 9 1.54 82.68 2 | 1 0.17 82.85 99 | 100 17.15 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for prev_dwi variable in vehicle dataset : Previous | DWI | Convictions | Freq. Percent Cum. ------------+----------------------------------- 0 | 475 81.48 81.48 1 | 6 1.03 82.50 2 | 2 0.34 82.85 99 | 100 17.15 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for prev_spd variable in vehicle dataset : Previous | Speeding | Convictions | Freq. Percent Cum. ------------+----------------------------------- 0 | 463 79.42 79.42 1 | 19 3.26 82.68 2 | 1 0.17 82.85 99 | 100 17.15 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for prev_oth variable in vehicle dataset : Previous | Other | Harmful MV | Convictions | Freq. Percent Cum. ------------+----------------------------------- 0 | 376 64.49 64.49 1 | 69 11.84 76.33 2 | 22 3.77 80.10 3 | 10 1.72 81.82 4 | 2 0.34 82.16 5 | 4 0.69 82.85 99 | 100 17.15 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for last_mo variable in vehicle dataset : Last | Accident,et | c-Month | Freq. Percent Cum. ------------+----------------------------------- 0 | 363 62.26 62.26 1 | 8 1.37 63.64 2 | 15 2.57 66.21 3 | 7 1.20 67.41 4 | 9 1.54 68.95 5 | 11 1.89 70.84 6 | 12 2.06 72.90 7 | 12 2.06 74.96 8 | 8 1.37 76.33 9 | 12 2.06 78.39 10 | 4 0.69 79.07 11 | 8 1.37 80.45 12 | 14 2.40 82.85 99 | 100 17.15 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for last_yr variable in vehicle dataset : Last | Accident,et | c-Year | Freq. Percent Cum. ------------+----------------------------------- 0 | 363 62.26 62.26 75 | 15 2.57 64.84 76 | 21 3.60 68.44 77 | 43 7.38 75.81 78 | 41 7.03 82.85 99 | 100 17.15 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for first_mo variable in vehicle dataset : First | Accident,et | c-Month | Freq. Percent Cum. ------------+----------------------------------- 0 | 363 62.26 62.26 1 | 13 2.23 64.49 2 | 8 1.37 65.87 3 | 8 1.37 67.24 4 | 10 1.72 68.95 5 | 12 2.06 71.01 6 | 9 1.54 72.56 7 | 10 1.72 74.27 8 | 7 1.20 75.47 9 | 12 2.06 77.53 10 | 11 1.89 79.42 11 | 7 1.20 80.62 12 | 13 2.23 82.85 99 | 100 17.15 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for first_yr variable in vehicle dataset : First | Accident,et | c-Year | Freq. Percent Cum. ------------+----------------------------------- 0 | 363 62.26 62.26 75 | 29 4.97 67.24 76 | 32 5.49 72.73 77 | 42 7.20 79.93 78 | 17 2.92 82.85 99 | 100 17.15 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for dr_cf1 variable in vehicle dataset : Driver | Related | Factor 1 | Freq. Percent Cum. ------------+----------------------------------- 0 | 173 29.67 29.67 1 | 1 0.17 29.85 2 | 1 0.17 30.02 6 | 1 0.17 30.19 20 | 7 1.20 31.39 21 | 6 1.03 32.42 24 | 1 0.17 32.59 26 | 6 1.03 33.62 27 | 3 0.51 34.13 28 | 33 5.66 39.79 29 | 23 3.95 43.74 30 | 3 0.51 44.25 31 | 5 0.86 45.11 33 | 9 1.54 46.66 34 | 3 0.51 47.17 35 | 18 3.09 50.26 36 | 16 2.74 53.00 38 | 118 20.24 73.24 39 | 5 0.86 74.10 41 | 1 0.17 74.27 44 | 146 25.04 99.31 45 | 1 0.17 99.49 49 | 2 0.34 99.83 99 | 1 0.17 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for dr_cf2 variable in vehicle dataset : Driver | Related | Factor 2 | Freq. Percent Cum. ------------+----------------------------------- 0 | 407 69.81 69.81 28 | 1 0.17 69.98 29 | 2 0.34 70.33 33 | 1 0.17 70.50 34 | 4 0.69 71.18 35 | 4 0.69 71.87 36 | 8 1.37 73.24 38 | 24 4.12 77.36 39 | 17 2.92 80.27 41 | 7 1.20 81.48 42 | 2 0.34 81.82 44 | 96 16.47 98.28 48 | 1 0.17 98.46 49 | 6 1.03 99.49 52 | 2 0.34 99.83 99 | 1 0.17 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for dr_cf3 variable in vehicle dataset : Driver | Related | Factor 3 | Freq. Percent Cum. ------------+----------------------------------- 0 | 520 89.19 89.19 38 | 2 0.34 89.54 39 | 4 0.69 90.22 41 | 1 0.17 90.39 44 | 46 7.89 98.28 47 | 1 0.17 98.46 48 | 2 0.34 98.80 49 | 4 0.69 99.49 52 | 2 0.34 99.83 99 | 1 0.17 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for st_case variable in vehicle dataset : State/Case | Number | Freq. Percent Cum. ------------+----------------------------------- 430001 | 1 0.17 0.17 430002 | 1 0.17 0.34 430003 | 1 0.17 0.51 430004 | 2 0.34 0.86 430005 | 2 0.34 1.20 430006 | 1 0.17 1.37 430007 | 2 0.34 1.72 430008 | 1 0.17 1.89 430009 | 2 0.34 2.23 430010 | 1 0.17 2.40 430011 | 1 0.17 2.57 430012 | 1 0.17 2.74 430013 | 1 0.17 2.92 430014 | 1 0.17 3.09 430015 | 1 0.17 3.26 430016 | 1 0.17 3.43 430017 | 1 0.17 3.60 430018 | 2 0.34 3.95 430019 | 2 0.34 4.29 430020 | 2 0.34 4.63 430021 | 1 0.17 4.80 430023 | 1 0.17 4.97 430024 | 1 0.17 5.15 430025 | 2 0.34 5.49 430026 | 1 0.17 5.66 430028 | 1 0.17 5.83 430030 | 1 0.17 6.00 430031 | 1 0.17 6.17 430032 | 2 0.34 6.52 430033 | 1 0.17 6.69 430034 | 1 0.17 6.86 430035 | 1 0.17 7.03 430036 | 2 0.34 7.38 430037 | 1 0.17 7.55 430038 | 1 0.17 7.72 430039 | 1 0.17 7.89 430040 | 1 0.17 8.06 430041 | 1 0.17 8.23 430042 | 1 0.17 8.40 430043 | 1 0.17 8.58 430044 | 1 0.17 8.75 430045 | 1 0.17 8.92 430046 | 1 0.17 9.09 430047 | 1 0.17 9.26 430048 | 2 0.34 9.61 430049 | 2 0.34 9.95 430050 | 2 0.34 10.29 430051 | 1 0.17 10.46 430052 | 2 0.34 10.81 430053 | 2 0.34 11.15 430054 | 2 0.34 11.49 430055 | 1 0.17 11.66 430056 | 1 0.17 11.84 430057 | 2 0.34 12.18 430058 | 1 0.17 12.35 430059 | 1 0.17 12.52 430060 | 1 0.17 12.69 430061 | 1 0.17 12.86 430062 | 2 0.34 13.21 430063 | 1 0.17 13.38 430064 | 2 0.34 13.72 430065 | 1 0.17 13.89 430066 | 2 0.34 14.24 430067 | 1 0.17 14.41 430068 | 1 0.17 14.58 430070 | 2 0.34 14.92 430072 | 1 0.17 15.09 430073 | 1 0.17 15.27 430074 | 1 0.17 15.44 430075 | 2 0.34 15.78 430076 | 3 0.51 16.30 430077 | 1 0.17 16.47 430078 | 1 0.17 16.64 430079 | 1 0.17 16.81 430080 | 2 0.34 17.15 430081 | 1 0.17 17.32 430082 | 1 0.17 17.50 430083 | 1 0.17 17.67 430084 | 1 0.17 17.84 430085 | 1 0.17 18.01 430086 | 1 0.17 18.18 430087 | 2 0.34 18.52 430088 | 1 0.17 18.70 430090 | 1 0.17 18.87 430091 | 3 0.51 19.38 430092 | 1 0.17 19.55 430093 | 1 0.17 19.73 430094 | 1 0.17 19.90 430096 | 1 0.17 20.07 430097 | 1 0.17 20.24 430098 | 1 0.17 20.41 430099 | 1 0.17 20.58 430100 | 1 0.17 20.75 430101 | 1 0.17 20.93 430102 | 1 0.17 21.10 430103 | 2 0.34 21.44 430104 | 1 0.17 21.61 430105 | 2 0.34 21.96 430107 | 1 0.17 22.13 430108 | 2 0.34 22.47 430109 | 1 0.17 22.64 430110 | 1 0.17 22.81 430111 | 2 0.34 23.16 430112 | 1 0.17 23.33 430114 | 1 0.17 23.50 430115 | 1 0.17 23.67 430117 | 1 0.17 23.84 430118 | 1 0.17 24.01 430119 | 2 0.34 24.36 430121 | 1 0.17 24.53 430122 | 1 0.17 24.70 430123 | 1 0.17 24.87 430124 | 1 0.17 25.04 430126 | 1 0.17 25.21 430127 | 1 0.17 25.39 430128 | 1 0.17 25.56 430129 | 1 0.17 25.73 430131 | 1 0.17 25.90 430133 | 2 0.34 26.24 430135 | 2 0.34 26.59 430136 | 2 0.34 26.93 430137 | 1 0.17 27.10 430138 | 2 0.34 27.44 430139 | 1 0.17 27.62 430140 | 1 0.17 27.79 430141 | 1 0.17 27.96 430142 | 1 0.17 28.13 430143 | 1 0.17 28.30 430144 | 2 0.34 28.64 430145 | 1 0.17 28.82 430146 | 2 0.34 29.16 430147 | 1 0.17 29.33 430149 | 1 0.17 29.50 430150 | 2 0.34 29.85 430151 | 1 0.17 30.02 430152 | 1 0.17 30.19 430153 | 1 0.17 30.36 430154 | 2 0.34 30.70 430155 | 2 0.34 31.05 430156 | 2 0.34 31.39 430157 | 1 0.17 31.56 430158 | 1 0.17 31.73 430159 | 1 0.17 31.90 430160 | 2 0.34 32.25 430161 | 2 0.34 32.59 430162 | 1 0.17 32.76 430163 | 1 0.17 32.93 430164 | 1 0.17 33.10 430165 | 2 0.34 33.45 430166 | 1 0.17 33.62 430167 | 1 0.17 33.79 430168 | 1 0.17 33.96 430170 | 3 0.51 34.48 430171 | 1 0.17 34.65 430172 | 1 0.17 34.82 430173 | 1 0.17 34.99 430174 | 1 0.17 35.16 430175 | 1 0.17 35.33 430176 | 1 0.17 35.51 430178 | 2 0.34 35.85 430179 | 1 0.17 36.02 430180 | 1 0.17 36.19 430181 | 2 0.34 36.54 430182 | 1 0.17 36.71 430183 | 1 0.17 36.88 430184 | 2 0.34 37.22 430185 | 1 0.17 37.39 430186 | 3 0.51 37.91 430187 | 1 0.17 38.08 430188 | 1 0.17 38.25 430189 | 1 0.17 38.42 430190 | 1 0.17 38.59 430191 | 1 0.17 38.77 430192 | 1 0.17 38.94 430193 | 2 0.34 39.28 430194 | 2 0.34 39.62 430195 | 1 0.17 39.79 430196 | 2 0.34 40.14 430198 | 1 0.17 40.31 430200 | 1 0.17 40.48 430201 | 2 0.34 40.82 430203 | 1 0.17 40.99 430206 | 1 0.17 41.17 430207 | 2 0.34 41.51 430210 | 1 0.17 41.68 430212 | 1 0.17 41.85 430214 | 1 0.17 42.02 430215 | 1 0.17 42.20 430217 | 1 0.17 42.37 430218 | 1 0.17 42.54 430221 | 1 0.17 42.71 430223 | 2 0.34 43.05 430224 | 2 0.34 43.40 430225 | 1 0.17 43.57 430226 | 1 0.17 43.74 430227 | 1 0.17 43.91 430228 | 1 0.17 44.08 430229 | 1 0.17 44.25 430230 | 3 0.51 44.77 430231 | 3 0.51 45.28 430232 | 2 0.34 45.63 430234 | 1 0.17 45.80 430235 | 1 0.17 45.97 430236 | 2 0.34 46.31 430238 | 2 0.34 46.66 430241 | 2 0.34 47.00 430246 | 1 0.17 47.17 430247 | 2 0.34 47.51 430248 | 1 0.17 47.68 430249 | 1 0.17 47.86 430250 | 1 0.17 48.03 430251 | 1 0.17 48.20 430255 | 1 0.17 48.37 430256 | 1 0.17 48.54 430257 | 1 0.17 48.71 430259 | 2 0.34 49.06 430260 | 1 0.17 49.23 430261 | 1 0.17 49.40 430262 | 1 0.17 49.57 430263 | 1 0.17 49.74 430264 | 1 0.17 49.91 433008 | 1 0.17 50.09 433011 | 1 0.17 50.26 433012 | 1 0.17 50.43 433013 | 1 0.17 50.60 433014 | 1 0.17 50.77 433015 | 1 0.17 50.94 433016 | 1 0.17 51.11 433017 | 1 0.17 51.29 433018 | 1 0.17 51.46 433019 | 1 0.17 51.63 433020 | 2 0.34 51.97 433021 | 2 0.34 52.32 433022 | 2 0.34 52.66 433023 | 2 0.34 53.00 433024 | 1 0.17 53.17 433025 | 1 0.17 53.34 433026 | 1 0.17 53.52 433027 | 1 0.17 53.69 433028 | 1 0.17 53.86 433029 | 1 0.17 54.03 433030 | 1 0.17 54.20 433031 | 1 0.17 54.37 433033 | 1 0.17 54.55 433034 | 1 0.17 54.72 433035 | 1 0.17 54.89 433036 | 1 0.17 55.06 433037 | 1 0.17 55.23 433038 | 1 0.17 55.40 433039 | 1 0.17 55.57 433040 | 3 0.51 56.09 433041 | 1 0.17 56.26 433042 | 1 0.17 56.43 433043 | 2 0.34 56.78 433044 | 3 0.51 57.29 433045 | 1 0.17 57.46 433047 | 1 0.17 57.63 433048 | 1 0.17 57.80 433049 | 2 0.34 58.15 433050 | 1 0.17 58.32 433051 | 1 0.17 58.49 433052 | 3 0.51 59.01 433053 | 1 0.17 59.18 433054 | 1 0.17 59.35 433055 | 1 0.17 59.52 433056 | 1 0.17 59.69 433057 | 3 0.51 60.21 433059 | 1 0.17 60.38 433060 | 1 0.17 60.55 433061 | 3 0.51 61.06 433062 | 1 0.17 61.23 433063 | 1 0.17 61.41 433064 | 2 0.34 61.75 433065 | 2 0.34 62.09 433066 | 1 0.17 62.26 433067 | 1 0.17 62.44 433068 | 1 0.17 62.61 433069 | 1 0.17 62.78 433071 | 1 0.17 62.95 433072 | 1 0.17 63.12 433073 | 2 0.34 63.46 433074 | 1 0.17 63.64 433075 | 1 0.17 63.81 433076 | 1 0.17 63.98 433077 | 1 0.17 64.15 433078 | 1 0.17 64.32 433079 | 1 0.17 64.49 433080 | 1 0.17 64.67 433082 | 1 0.17 64.84 433083 | 1 0.17 65.01 433084 | 1 0.17 65.18 433085 | 2 0.34 65.52 433086 | 2 0.34 65.87 433087 | 1 0.17 66.04 433088 | 1 0.17 66.21 433089 | 1 0.17 66.38 433090 | 2 0.34 66.72 433091 | 2 0.34 67.07 433093 | 2 0.34 67.41 433094 | 1 0.17 67.58 433095 | 1 0.17 67.75 433096 | 1 0.17 67.92 433097 | 2 0.34 68.27 433099 | 1 0.17 68.44 433100 | 3 0.51 68.95 433101 | 1 0.17 69.13 433102 | 1 0.17 69.30 433103 | 1 0.17 69.47 433104 | 1 0.17 69.64 433105 | 1 0.17 69.81 433106 | 1 0.17 69.98 433107 | 1 0.17 70.15 433108 | 2 0.34 70.50 433109 | 1 0.17 70.67 433110 | 1 0.17 70.84 433111 | 1 0.17 71.01 433112 | 2 0.34 71.36 433113 | 1 0.17 71.53 433114 | 1 0.17 71.70 433115 | 2 0.34 72.04 433116 | 1 0.17 72.21 433117 | 1 0.17 72.38 433118 | 1 0.17 72.56 433119 | 1 0.17 72.73 433120 | 1 0.17 72.90 433121 | 2 0.34 73.24 433122 | 1 0.17 73.41 433123 | 1 0.17 73.58 433124 | 2 0.34 73.93 433126 | 3 0.51 74.44 433127 | 1 0.17 74.61 433128 | 1 0.17 74.79 433129 | 3 0.51 75.30 433130 | 1 0.17 75.47 433131 | 2 0.34 75.81 433132 | 1 0.17 75.99 433133 | 2 0.34 76.33 433134 | 2 0.34 76.67 433135 | 2 0.34 77.02 433137 | 1 0.17 77.19 433138 | 2 0.34 77.53 433139 | 1 0.17 77.70 433140 | 2 0.34 78.04 433142 | 1 0.17 78.22 433143 | 1 0.17 78.39 433144 | 1 0.17 78.56 433145 | 3 0.51 79.07 433146 | 1 0.17 79.25 433147 | 2 0.34 79.59 433148 | 2 0.34 79.93 433149 | 1 0.17 80.10 433151 | 1 0.17 80.27 433153 | 1 0.17 80.45 433155 | 5 0.86 81.30 433156 | 1 0.17 81.48 433157 | 1 0.17 81.65 433158 | 1 0.17 81.82 433159 | 2 0.34 82.16 433160 | 1 0.17 82.33 433161 | 2 0.34 82.68 433162 | 1 0.17 82.85 433163 | 1 0.17 83.02 433164 | 1 0.17 83.19 433165 | 1 0.17 83.36 433166 | 1 0.17 83.53 433167 | 1 0.17 83.70 433168 | 1 0.17 83.88 433170 | 1 0.17 84.05 433171 | 1 0.17 84.22 433173 | 1 0.17 84.39 433174 | 1 0.17 84.56 433175 | 1 0.17 84.73 433176 | 1 0.17 84.91 433177 | 2 0.34 85.25 433178 | 1 0.17 85.42 433179 | 1 0.17 85.59 433180 | 1 0.17 85.76 433181 | 2 0.34 86.11 433182 | 1 0.17 86.28 433183 | 1 0.17 86.45 433185 | 1 0.17 86.62 433186 | 1 0.17 86.79 433187 | 1 0.17 86.96 433188 | 1 0.17 87.14 433189 | 1 0.17 87.31 433190 | 2 0.34 87.65 433192 | 2 0.34 87.99 433195 | 1 0.17 88.16 433197 | 2 0.34 88.51 433198 | 2 0.34 88.85 433199 | 2 0.34 89.19 433200 | 1 0.17 89.37 433201 | 1 0.17 89.54 433202 | 1 0.17 89.71 433203 | 1 0.17 89.88 433204 | 2 0.34 90.22 433205 | 1 0.17 90.39 433206 | 1 0.17 90.57 433207 | 2 0.34 90.91 433208 | 2 0.34 91.25 433209 | 1 0.17 91.42 433210 | 1 0.17 91.60 433211 | 2 0.34 91.94 433212 | 2 0.34 92.28 433213 | 2 0.34 92.62 433216 | 1 0.17 92.80 433217 | 2 0.34 93.14 433218 | 2 0.34 93.48 433219 | 1 0.17 93.65 433221 | 1 0.17 93.83 433222 | 1 0.17 94.00 433223 | 1 0.17 94.17 433224 | 1 0.17 94.34 433225 | 1 0.17 94.51 433227 | 1 0.17 94.68 433228 | 1 0.17 94.85 433229 | 1 0.17 95.03 433230 | 1 0.17 95.20 433231 | 2 0.34 95.54 433232 | 1 0.17 95.71 433233 | 1 0.17 95.88 433234 | 1 0.17 96.05 433235 | 1 0.17 96.23 433236 | 1 0.17 96.40 433237 | 1 0.17 96.57 433238 | 1 0.17 96.74 433239 | 1 0.17 96.91 433240 | 1 0.17 97.08 433241 | 1 0.17 97.26 433242 | 3 0.51 97.77 433243 | 2 0.34 98.11 433244 | 1 0.17 98.28 433245 | 2 0.34 98.63 433246 | 2 0.34 98.97 433247 | 1 0.17 99.14 433248 | 2 0.34 99.49 433249 | 1 0.17 99.66 433250 | 1 0.17 99.83 433251 | 1 0.17 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for mak_mod variable in vehicle dataset : Vehicle | Model | Freq. Percent Cum. ------------+----------------------------------- 101 | 1 0.17 0.17 104 | 1 0.17 0.34 107 | 2 0.34 0.69 200 | 23 3.95 4.63 202 | 2 0.34 4.97 289 | 1 0.17 5.15 299 | 1 0.17 5.32 700 | 1 0.17 5.49 701 | 1 0.17 5.66 702 | 2 0.34 6.00 706 | 2 0.34 6.35 734 | 6 1.03 7.38 774 | 1 0.17 7.55 779 | 4 0.69 8.23 798 | 2 0.34 8.58 799 | 21 3.60 12.18 901 | 3 0.51 12.69 931 | 2 0.34 13.04 932 | 1 0.17 13.21 998 | 2 0.34 13.55 999 | 10 1.72 15.27 1200 | 15 2.57 17.84 1201 | 2 0.34 18.18 1203 | 6 1.03 19.21 1207 | 1 0.17 19.38 1208 | 7 1.20 20.58 1209 | 1 0.17 20.75 1210 | 2 0.34 21.10 1211 | 2 0.34 21.44 1272 | 1 0.17 21.61 1273 | 1 0.17 21.78 1274 | 4 0.69 22.47 1279 | 20 3.43 25.90 1281 | 4 0.69 26.59 1285 | 4 0.69 27.27 1289 | 1 0.17 27.44 1298 | 4 0.69 28.13 1299 | 53 9.09 37.22 1408 | 2 0.34 37.56 1499 | 6 1.03 38.59 1801 | 2 0.34 38.94 1802 | 1 0.17 39.11 1805 | 1 0.17 39.28 1899 | 13 2.23 41.51 1903 | 1 0.17 41.68 1999 | 2 0.34 42.02 2000 | 11 1.89 43.91 2001 | 6 1.03 44.94 2002 | 1 0.17 45.11 2004 | 2 0.34 45.45 2008 | 15 2.57 48.03 2009 | 9 1.54 49.57 2010 | 5 0.86 50.43 2013 | 1 0.17 50.60 2073 | 1 0.17 50.77 2074 | 2 0.34 51.11 2079 | 14 2.40 53.52 2099 | 64 10.98 64.49 2101 | 4 0.69 65.18 2199 | 9 1.54 66.72 2201 | 1 0.17 66.90 2209 | 1 0.17 67.07 2279 | 1 0.17 67.24 2299 | 4 0.69 67.92 2300 | 1 0.17 68.10 2373 | 1 0.17 68.27 2379 | 2 0.34 68.61 2385 | 1 0.17 68.78 3002 | 7 1.20 69.98 3079 | 1 0.17 70.15 3099 | 28 4.80 74.96 3499 | 3 0.51 75.47 3500 | 1 0.17 75.64 3502 | 2 0.34 75.99 3503 | 6 1.03 77.02 3599 | 28 4.80 81.82 3699 | 1 0.17 81.99 3700 | 1 0.17 82.16 3701 | 3 0.51 82.68 3769 | 4 0.69 83.36 3799 | 4 0.69 84.05 4199 | 8 1.37 85.42 4299 | 1 0.17 85.59 4899 | 2 0.34 85.93 4902 | 3 0.51 86.45 4999 | 44 7.55 94.00 5199 | 4 0.69 94.68 6069 | 1 0.17 94.85 6269 | 2 0.34 95.20 6369 | 2 0.34 95.54 6762 | 1 0.17 95.71 6764 | 1 0.17 95.88 6765 | 1 0.17 96.05 6769 | 1 0.17 96.23 6969 | 1 0.17 96.40 8089 | 2 0.34 96.74 8400 | 3 0.51 97.26 8485 | 1 0.17 97.43 8489 | 3 0.51 97.94 8600 | 1 0.17 98.11 8689 | 1 0.17 98.28 9578 | 1 0.17 98.46 9588 | 5 0.86 99.31 9800 | 1 0.17 99.49 9899 | 2 0.34 99.83 9999 | 1 0.17 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for vin_wgt variable in vehicle dataset : VIN | Weight-Auto | Freq. Percent Cum. ------------+----------------------------------- 1610 | 1 0.17 0.17 1675 | 1 0.17 0.34 1708 | 1 0.17 0.51 1864 | 3 0.51 1.03 1897 | 2 0.34 1.37 1969 | 1 0.17 1.54 2047 | 1 0.17 1.72 2101 | 1 0.17 1.89 2175 | 2 0.34 2.23 2215 | 1 0.17 2.40 2260 | 1 0.17 2.57 2320 | 1 0.17 2.74 2323 | 1 0.17 2.92 2678 | 1 0.17 3.09 2763 | 1 0.17 3.26 2780 | 1 0.17 3.43 2800 | 1 0.17 3.60 2975 | 1 0.17 3.77 2995 | 1 0.17 3.95 3033 | 1 0.17 4.12 3051 | 1 0.17 4.29 3065 | 1 0.17 4.46 3068 | 1 0.17 4.63 3109 | 1 0.17 4.80 3119 | 1 0.17 4.97 3124 | 1 0.17 5.15 3136 | 2 0.34 5.49 3139 | 1 0.17 5.66 3146 | 1 0.17 5.83 3150 | 4 0.69 6.52 3153 | 1 0.17 6.69 3160 | 1 0.17 6.86 3185 | 1 0.17 7.03 3188 | 2 0.34 7.38 3238 | 1 0.17 7.55 3240 | 1 0.17 7.72 3324 | 1 0.17 7.89 3413 | 1 0.17 8.06 3421 | 1 0.17 8.23 3466 | 1 0.17 8.40 3474 | 1 0.17 8.58 3536 | 1 0.17 8.75 3550 | 1 0.17 8.92 3575 | 1 0.17 9.09 3660 | 1 0.17 9.26 3688 | 1 0.17 9.43 3695 | 1 0.17 9.61 3710 | 1 0.17 9.78 3713 | 1 0.17 9.95 3888 | 1 0.17 10.12 3915 | 1 0.17 10.29 4139 | 1 0.17 10.46 4218 | 1 0.17 10.63 4325 | 1 0.17 10.81 5025 | 1 0.17 10.98 9999 | 497 85.25 96.23 . | 22 3.77 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for whlbs_sh variable in vehicle dataset : Wheelbase | Short-Auto | Freq. Percent Cum. ------------+----------------------------------- 866 | 3 0.51 0.51 920 | 1 0.17 0.69 921 | 8 1.37 2.06 933 | 3 0.51 2.57 943 | 1 0.17 2.74 953 | 1 0.17 2.92 962 | 1 0.17 3.09 980 | 1 0.17 3.26 1030 | 1 0.17 3.43 1080 | 7 1.20 4.63 1081 | 4 0.69 5.32 1085 | 1 0.17 5.49 1087 | 1 0.17 5.66 1099 | 2 0.34 6.00 1110 | 11 1.89 7.89 1120 | 8 1.37 9.26 1140 | 2 0.34 9.61 1150 | 1 0.17 9.78 1159 | 1 0.17 9.95 1160 | 1 0.17 10.12 1170 | 1 0.17 10.29 1180 | 1 0.17 10.46 1215 | 1 0.17 10.63 1220 | 1 0.17 10.81 1300 | 1 0.17 10.98 9999 | 497 85.25 96.23 . | 22 3.77 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for whlbs_lg variable in vehicle dataset : Wheelbase | Long-Auto | Freq. Percent Cum. ------------+----------------------------------- 0 | 49 8.40 8.40 898 | 2 0.34 8.75 973 | 1 0.17 8.92 1099 | 1 0.17 9.09 1125 | 1 0.17 9.26 1127 | 1 0.17 9.43 1160 | 6 1.03 10.46 1170 | 1 0.17 10.63 1200 | 1 0.17 10.81 1250 | 1 0.17 10.98 9999 | 497 85.25 96.23 . | 22 3.77 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for mcycl_ds variable in vehicle dataset : Motorcycle | CC | Displacemen | t | Freq. Percent Cum. ------------+----------------------------------- 123 | 1 0.17 0.17 400 | 1 0.17 0.34 653 | 1 0.17 0.51 9999 | 497 85.25 85.76 . | 83 14.24 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for vina_mod variable in vehicle dataset : VIN Model | Freq. Percent Cum. ------------+----------------------------------- | 2 0.34 0.34 210 | 6 1.03 1.37 999 | 497 85.25 86.62 ACU | 1 0.17 86.79 ARW | 1 0.17 86.96 ASP | 1 0.17 87.14 AT1 | 1 0.17 87.31 B2V | 1 0.17 87.48 C10 | 1 0.17 87.65 C15 | 1 0.17 87.82 CAM | 2 0.34 88.16 CCA | 1 0.17 88.34 CDX | 1 0.17 88.51 CHR | 1 0.17 88.68 CHV | 1 0.17 88.85 CIV | 1 0.17 89.02 CJ5 | 1 0.17 89.19 CJ7 | 1 0.17 89.37 CLT | 1 0.17 89.54 COA | 1 0.17 89.71 CON | 1 0.17 89.88 COU | 1 0.17 90.05 CSA | 1 0.17 90.22 CSU | 2 0.34 90.57 CVC | 2 0.34 90.91 CVT | 1 0.17 91.08 DEM | 1 0.17 91.25 DEV | 1 0.17 91.42 DUS | 2 0.34 91.77 E1V | 1 0.17 91.94 E25 | 2 0.34 92.28 F35 | 1 0.17 92.45 F70 | 2 0.34 92.80 F7M | 1 0.17 92.97 FAM | 1 0.17 93.14 G10 | 1 0.17 93.31 G20 | 1 0.17 93.48 GRA | 2 0.34 93.83 GTS | 1 0.17 94.00 IMP | 1 0.17 94.17 L9M | 1 0.17 94.34 LCU | 1 0.17 94.51 LD5 | 1 0.17 94.68 LEM | 1 0.17 94.85 MAL | 2 0.34 95.20 MAV | 1 0.17 95.37 MCL | 2 0.34 95.71 MOC | 2 0.34 96.05 MU2 | 1 0.17 96.23 MUS | 1 0.17 96.40 NCO | 1 0.17 96.57 NOV | 10 1.72 98.28 RAN | 1 0.17 98.46 RD4 | 1 0.17 98.63 REG | 2 0.34 98.97 RIV | 1 0.17 99.14 S25 | 1 0.17 99.31 SX | 2 0.34 99.66 T50 | 1 0.17 99.83 XS6 | 1 0.17 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for ser_tr variable in vehicle dataset : VIN | Series-Truc | k | Freq. Percent Cum. ------------+----------------------------------- | 2 0.34 0.34 *** | 67 11.49 11.84 999 | 497 85.25 97.08 C10 | 1 0.17 97.26 C15 | 1 0.17 97.43 CLU | 2 0.34 97.77 COF | 1 0.17 97.94 COL | 1 0.17 98.11 COU | 1 0.17 98.28 CWS | 1 0.17 98.46 JEE | 2 0.34 98.80 MHV | 3 0.51 99.31 VAN | 4 0.69 100.00 ------------+----------------------------------- Total | 583 100.00 Frequencies for vin variable in vehicle dataset : Vehicle ID | Number | Freq. Percent Cum. ------------+----------------------------------- | 1 0.17 0.17 10GEK228 | 1 0.17 0.34 194678S4 | 1 0.17 0.51 1A130363 | 1 0.17 0.69 1B08E8Y1 | 1 0.17 0.86 1C35U7B5 | 1 0.17 1.03 1D37H2B5 | 1 0.17 1.20 1D37H4K4 | 1 0.17 1.37 1D37Q6B4 | 1 0.17 1.54 1H42F139 | 1 0.17 1.72 1H57H3B4 | 1 0.17 1.89 1L39V611 | 1 0.17 2.06 1Q87H5N5 | 1 0.17 2.23 1S87H3N1 | 1 0.17 2.40 1X27D4W1 | 1 0.17 2.57 1X27D6W1 | 1 0.17 2.74 1X27D7T1 | 1 0.17 2.92 1X27D8T1 | 1 0.17 3.09 1X27H3W2 | 1 0.17 3.26 1X27H4L1 | 1 0.17 3.43 1X27H4W1 | 1 0.17 3.60 1X27H4W2 | 1 0.17 3.77 1X27Q6T1 | 1 0.17 3.95 1X69D8T1 | 1 0.17 4.12 1Y27Q6T1 | 1 0.17 4.29 1Z37A8B5 | 1 0.17 4.46 2D37F6G1 | 1 0.17 4.63 2H35F151 | 1 0.17 4.80 2P35W6X1 | 1 0.17 4.97 2W8727N1 | 1 0.17 5.15 338177G1 | 1 0.17 5.32 3E58H10673 | 1 0.17 5.49 3F01F128 | 1 0.17 5.66 3K47F8D4 | 1 0.17 5.83 3K57F7D2 | 1 0.17 6.00 3R47F8D4 | 1 0.17 6.17 44770420 | 1 0.17 6.35 494871H9 | 1 0.17 6.52 4J57H6H2 | 1 0.17 6.69 4J57H7B1 | 1 0.17 6.86 4P37Y8C1 | 1 0.17 7.03 5E82L111 | 1 0.17 7.20 6D4756E6 | 1 0.17 7.38 6F02Y216 | 1 0.17 7.55 6L21K496 | 1 0.17 7.72 6X91L159 | 1 0.17 7.89 7A49F102 | 1 0.17 8.06 7E82F113 | 1 0.17 8.23 7L24K811 | 1 0.17 8.40 9999999999 | 489 83.88 92.28 A8A087E3 | 1 0.17 92.45 AT219107 | 1 0.17 92.62 B21BB7X0 | 1 0.17 92.80 CCD157U1 | 1 0.17 92.97 CCO144A1 | 1 0.17 93.14 CCQ14311 | 1 0.17 93.31 CGD156U2 | 1 0.17 93.48 CGY254U1 | 1 0.17 93.65 E04B0389 | 1 0.17 93.83 E23HAX85 | 1 0.17 94.00 E23HHA61 | 1 0.17 94.17 E23HHC80 | 1 0.17 94.34 F10BEX85 | 1 0.17 94.51 F37HEX84 | 1 0.17 94.68 F70EV068 | 1 0.17 94.85 F70EVB63 | 1 0.17 95.03 HLB21032 | 1 0.17 95.20 HLB21035 | 2 0.34 95.54 HLB21039 | 1 0.17 95.71 HLB21072 | 1 0.17 95.88 HLS10135 | 1 0.17 96.05 HLS10144 | 1 0.17 96.23 J8F83AH0 | 1 0.17 96.40 J8F93EA1 | 1 0.17 96.57 K70VUF90 | 1 0.17 96.74 K90TVW05 | 1 0.17 96.91 KHLB2102 | 1 0.17 97.08 KHLB3105 | 1 0.17 97.26 LL29C2B2 | 1 0.17 97.43 NH29C7F1 | 1 0.17 97.60 NL29C6B2 | 1 0.17 97.77 S21HHDH2 | 1 0.17 97.94 SBC51104 | 1 0.17 98.11 SGC20424 | 1 0.17 98.28 SGC30206 | 1 0.17 98.46 SGTAUJ36 | 1 0.17 98.63 TCD146B5 | 1 0.17 98.80 TCQ145B5 | 1 0.17 98.97 TE312488 | 1 0.17 99.14 TE381301 | 1 0.17 99.31 TE516021 | 1 0.17 99.49 VL29C2B4 | 1 0.17 99.66 VL29C6G1 | 1 0.17 99.83 XS29L862 | 1 0.17 100.00 ------------+----------------------------------- Total | 583 100.00 by Jean Roth , jroth@nber.org , 22 Apr 2016