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๐ Analytics
Crashes Over Time iTotal crashes per year or month. In Yearly mode, click a point to filter to that year. Toggle between Yearly and Monthly views using the buttons.
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Crashes by Day of Week iTotal crashes for each day of the week. Orange bars highlight weekends (Sat & Sun). The dashed line shows the daily average.
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Crashes by Hour iTotal crashes by hour of day (12amโ11pm). Bars graduate from blue (fewer) to red (more). The dashed line shows the hourly average.
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Severity Distribution iBreakdown of crashes by severity. Click a segment to filter the map and graphs to that severity only. Click the same segment again to restore.
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Top Crash Types iTop 10 crash types by frequency in the filtered data. Click a bar to solo-filter by that crash type. Click again to restore all types.
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Top Areas (LGA) iTop 10 Local Government Areas by crash count in the filtered data. Click a bar to filter the map to that LGA. Click again to restore all areas.
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Weather Conditions iCrash count by weather condition. Click a bar to filter the map to that weather condition. Click again to restore all conditions.
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Day × Hour Heatmap iCrash intensity by day of week and hour of day. Darker red = more crashes. Reveals high-risk time windows such as Friday afternoon rush hour or Saturday night.
Severity Trend Over Time iFatal crashes, serious injury crashes and minor injury crashes per year. Reveals whether road safety outcomes are improving even when overall crash volumes stay flat.
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Crashes by Speed Zone iTotal crashes grouped by the posted speed limit at the crash location. Reveals whether crashes are concentrated on high-speed rural roads or in lower-speed urban environments.
Casualties by Road User Type iDistribution of casualties by road user category โ drivers, passengers, pedestrians, cyclists and more. Based on casualty records linked to each crash.
Casualty Age Distribution iNumber of casualties in each age group. Highlights which age groups are most at risk in road crashes.
Crash Type × Severity Matrix iEach cell shows the proportion of crashes of that type resulting in each severity level. Darker shading means a higher proportion. Identifies which crash types are most likely to cause serious harm.
Seat Belt Compliance iWhether casualties were wearing a seat belt at the time of the crash. Based on casualty records linked to each crash.
Helmet Usage iWhether casualties (motorcyclists, cyclists) were wearing a helmet at the time of the crash.
Casualty Sex Breakdown iNumber of casualties by sex across all crashes in the filtered data.
Crash Data Table
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Available variables: {date}, {year_range}, {count}, {time}
Preview: SA_Crash_Report_2024-02-28.pdf
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