RES 746 Draft 01 2018-2020 - Laserfiche WebLink

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FATAL TRAFFIC CRASH FACTOR: AGE / GENDER Age and gender were analyzed as potential factors for both drivers and victims involved in fatal traffic crashes. It was found that the 20-24 year-old age group had the highest number of fatalities and drivers associated with fatal traffic crashes on Hawaii Island (see Figures 16 and 17 respectively). In comparison to females, males were overwhelmingly more likely to be the fatality or the driver involved in fatal crashes. Traffic crash fatalities by mode showed less of a correlation for pedestrians, bicycles, or motorcycles/mopeds (see Figure 18). FIGURE 16. TRAFFIC CRASH FATALITIES BY AGE/GENDER (YEARS 2013-2018) 5.00. 18.00 4.50.................................................................... 4.50 :7, ■ R a a � a ---------- 4.00 --- ........... .................... �....- 4.00 a ■ ■ ■ f + a i i � a „n 14.00 3.54 --- --- a -- r• ■ ■ ■ ■ a 12.00 .4J0 ... _ _ _.._...__.-._.... 3.00 ___. _.. .. _ ■ _ y .... .r .. .. .. .. ... ............... ......... ..._..._._................ T ..... ..................... .... .............. .............. .... {� ■ a • a i ■ s ■ 10.0f LL 2.50 ________ KID ■ r - ■ _______ ____ {._--- ____ .-. a` a•_ 'i _. F #. ,•' �'.■ 8.00 2.00 ......................... ...... ............... ........ ►....... .-....._..... • i ■........... ......... ......... A ...... ._........... ................... ■ as e m LL ■ ■ a `.. a-• .. *� b. 00 ....._..................� . ...... ..._ . ._... . r+........_ _...1.50 r ......................... � ■ ■ • ,. `i 4.00 1.0(] ■ a , # ----_, ... 0.50 ■ .. ........... r. ..._...----- ----..._ -_----��............ ....... ....._..... - ......---. ■ i ......... ■ 0 0 e 5 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 6(.-64 . i-61? iu-14 Age years years years years years years years years years years years years years years years years y e Li rs years Population (x1000) ai&a Total Fatalities M a I e --o-Fern aIe FIGURE 17. DRIVERS OF FATAL TRAFFIC CRASHES BY AGE/GENDER (YEARS 2013-2018) 5 00 IP nn 3.00 i6 cc o� 2.50 M 2.00 1.50 1.00 0.50 16.00 14.00 12.00 0 10.00 c 8.00 CL a_ 6.00 4.00 2.00 0 - --00- -OF 0 5 -9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-85 >85 Age years ye5ars years years years years years years years years years years years years years years years years Population (x1000) --*- Total Drivers jp Mahe Drivers --*-- Fermale Drivers 22 4.50 :7, ■ R a a � a ---------- 4.00 a ■ ■ ■ f + a i i � , „n r• # a 3.50 r i a ■ 4 3.00 i6 cc o� 2.50 M 2.00 1.50 1.00 0.50 16.00 14.00 12.00 0 10.00 c 8.00 CL a_ 6.00 4.00 2.00 0 - --00- -OF 0 5 -9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-85 >85 Age years ye5ars years years years years years years years years years years years years years years years years Population (x1000) --*- Total Drivers jp Mahe Drivers --*-- Fermale Drivers 22