Figures & data
Table 1. Top 10 most expensive normalised losses.
Figure 1. (A) Annual aggregate losses by financial year in the dollars of the day; and (B) the annual aggregate of losses normalised to 2017 societal and demographic conditions. The heavy black line in the latter is the linear regression line considering all of the data; the dark grey area depicts the 95% confidence interval. Both graphs include losses from the 1989 Newcastle and other earthquakes.
![Figure 1. (A) Annual aggregate losses by financial year in the dollars of the day; and (B) the annual aggregate of losses normalised to 2017 societal and demographic conditions. The heavy black line in the latter is the linear regression line considering all of the data; the dark grey area depicts the 95% confidence interval. Both graphs include losses from the 1989 Newcastle and other earthquakes.](/cms/asset/226ba171-2c3f-4dfb-b619-3388d59db0e8/tenh_a_1609406_f0001_ob.jpg)
Figure 2. Normalised losses from weather-related events only. As for (B), the slope of the regression line is not significantly different from zero and the dark grey area depicts the 95% confidence interval.
![Figure 2. Normalised losses from weather-related events only. As for Figure 1(B), the slope of the regression line is not significantly different from zero and the dark grey area depicts the 95% confidence interval.](/cms/asset/d8cb940d-b053-4d79-b690-9232a791b6f0/tenh_a_1609406_f0002_ob.jpg)
Table 2. Breakdown of normalised losses by State and Territory: New South Wales (NSW); Victoria (VIC); Queensland (QLD); Western Australia (WA); Northern Territory (NT); Australian Capital Territory (ACT); Tasmania (TAS).
Table 3. Breakdown of normalised losses by peril category. Percentages have been rounded up to single digit values.
Figure 3. Historical event losses adjusted by Consumer Price Index (CPI). The increasing trend is not consistent with the underlying peril data (see text).
![Figure 3. Historical event losses adjusted by Consumer Price Index (CPI). The increasing trend is not consistent with the underlying peril data (see text).](/cms/asset/19b5985e-84d7-47f8-bc24-f6ecef4941fe/tenh_a_1609406_f0003_ob.jpg)