Dataset For Cyclone And Storm Damage Machine Learning

Looking for a dataset containing cyclone/storm damage to apply machine learning. All the damage data that I can find is a single number for each event. Ideally, I would like to know the damage for each event split by region (by region, this could be by postcode/zip code, suburb, etc). To specifically describe what I am after:

Time period: At least for the last 20 years, but more the better. County: Preferably Australia but happy for it to be any other county if that county has the required data available. Event: As mentioned in the title, interested in cyclone and storms. Note, I use the term cyclone to include events such as hurricanes, typhoons, etc. Damage: This could be total economic damage, recovery cost, lives lost, casualties or any other reasonable metric. Granularity: This is the most important feature I am after. The more granular the better. Ideally the damage data would be by postcode/zip code. Though perhaps that is too much to hope for so will take what I can get.

Thanks in advance!