Tropical Cyclones in 2022 > Table 4.10
Table 4.10 DAMAGE CAUSED BY TROPICAL CYCLONES IN HONG KONG IN 2022
Name of Tropical Cyclone | Month | Damage in physical terms | Damage in monetary terms (million HK$)* | The total amount of insurance claims# (million HK$) (b) | Estimated direct economic loss @ (million HK$) (a) + (b) | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Agri- culture |
Public works facilities (site) | Public utilities (site) | Property (unit) | Landslip and collapse of slope (case) | Ships lost or damaged (number) | Report(s) of fallen Trees | Agri-culture | Public works facilities | Public utilities | Private property | Industry | Total (a) |
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Typhoon Chaba | 6 - 7 | Park lighting: 3 Playground: 1 Lamppost : 2 Scaffolding: 1 |
Windscreens of bus: 1 Railway: 1 |
7 | 7 | 595 | 0.0330 | 0.9440 | 0.2283 | 1.2053 | 10.2409 | 11.4461 | ||||
Tropical Depression | 8 | Windscreens of bus: 1 | 0.0045 | 0.0045 | ||||||||||||
Tropical Storm Mulan | 8 | Lamppost : 2 | Windscreens of bus: 6 | 1 | 2 | 4 | 0.0268 | 0.0749 | 0.1017 | |||||||
Typhoon Ma-on | 8 | Notice board: 1 Landing handrail: 1 Lamppost : 1 Road : 1 Scaffolding: 1 |
Windscreens of bus: 3 | 2 | 3 | 279 | 0.0564 | 0.6860 | 0.0263 | 0.7687 | 4.3339 | 5.1026 | ||||
Typhoon Nesat | 10 | Railway: 1 | 10 | 0.0320 | 0.0320 | |||||||||||
Severe Tropical Storm Nalgae | 11-12 | Minor footpath: 1 Playground: 1 Sports ground: 2 Signpost: 1 Lamppost : 1 |
Railway: 1 | 3 | 1 | 2 | 11 | 0.0850 | 0.5135 | 0.0083 | 0.6068 | 3.7279 | 4.3346 |
# The insurance claim figure is provided by the Hong Kong Federation of Insurers. The data have been adjusted by the market shares of the companies participating in the survey. Note that the insurance claim figure is only available for Typhoon Chaba, Typhoon Ma-on and Severe Tropical Storm Nalgae in 2022.
* The data is provided by relevant government departments and public utility companies (up to 31 May 2023). Items with insurance claim made have been excluded.
@ The estimates are for reference only and may be subject to various uncertainties in the survey responses and analysis method. Please refer to Annex 1 for details of estimation and disclaimer.
The sum of figures may not add up to total due to rounding.
* The data is provided by relevant government departments and public utility companies (up to 31 May 2023). Items with insurance claim made have been excluded.
@ The estimates are for reference only and may be subject to various uncertainties in the survey responses and analysis method. Please refer to Annex 1 for details of estimation and disclaimer.
The sum of figures may not add up to total due to rounding.