Comparison of NTS one-year injury reporting and Stats19 data (Stats19 data excluding deaths)
Figure 2 Comparison of NTS one-year injury reporting and Stats19 data (Stats19 data excluding deaths)
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Rachel’s analysis of the data also identified areas taiwan rcs data of inequality in injury risks. She was able to calculate this both relative to population size, but importantly also in relation to travel distance, as NTS is a travel survey. adjust for the amount of walking that different demographic groups do in looking at their injury risk.
She found that women were more likely than men to be injured either by motor vehicles or falls. Over half of those reporting a fall were aged 70 or over. Another notable inequality group is disabled pedestrians who were five times per kilometre walked more likely to be injured as a result of a collision with a motor vehicle and six times more likely to be injured in a fall. Other groups at high risk of being injured by a motor vehicle were people in lower-income households or those living in London.